Triple
T2631857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NS 74 series |
E59650
|
entity |
| Predicate | multipleUnitType |
P28425
|
FINISHED |
| Object |
EMU
EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
|
E284702
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: EMU | Statement: [NS 74 series, multipleUnitType, EMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMU Context triple: [NS 74 series, multipleUnitType, EMU]
-
A.
EMU
EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
-
B.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
C.
EMD
EMD is the vehicle registration code assigned to the German town of Emden.
-
D.
EA
EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
-
E.
Metro
Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EMU Triple: [NS 74 series, multipleUnitType, EMU]
Generated description
EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EMU Target entity description: EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
-
A.
EMU
EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
-
B.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
C.
EMD
EMD is the vehicle registration code assigned to the German town of Emden.
-
D.
EA
EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
-
E.
Metro
Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multipleUnitType Context triple: [NS 74 series, multipleUnitType, EMU]
-
A.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
B.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
C.
associatedUnitType
chosen
Indicates that one entity is linked to or characterized by a particular type or category of unit.
-
D.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
E.
typicalUnitSize
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a7021081909f81c4ddb48fa00c |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af9172ba248190bbc68a00b43d9b44 |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af92500920819082c651f75a06dd72 |
completed | March 10, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.