Triple
T10640465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Central Diameters |
E250706
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
MCD-3
MCD-3 is one of the lines of the Moscow Central Diameters urban rail system, providing cross-city commuter rail service through Moscow and surrounding areas.
|
E877878
|
NE FINISHED |
How this triple was built (4 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: MCD-3 | Statement: [Moscow Central Diameters, hasLine, MCD-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCD-3 Context triple: [Moscow Central Diameters, hasLine, MCD-3]
-
A.
MCD-5
MCD-5 is a planned line of the Moscow Central Diameters commuter rail system intended to provide cross-city rail connectivity across Moscow and its surrounding region.
-
B.
M-3
M-3 is a designated highway route, commonly known by its short name M-3, within a regional or national road network.
-
C.
MISR
MISR (Multi-angle Imaging SpectroRadiometer) is a NASA Earth-observing instrument on the Terra satellite that captures multi-angle imagery to study clouds, aerosols, and surface properties.
-
D.
MCD D2
MCD D2 is a branded variant or label associated with the D2 product or model line.
-
E.
A-Train
A-Train is a super-speed-powered superhero and member of the Seven in the TV series "The Boys," known for his reckless behavior and role in key tragic events.
- 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: MCD-3 Triple: [Moscow Central Diameters, hasLine, MCD-3]
Generated description
MCD-3 is one of the lines of the Moscow Central Diameters urban rail system, providing cross-city commuter rail service through Moscow and surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCD-3 Target entity description: MCD-3 is one of the lines of the Moscow Central Diameters urban rail system, providing cross-city commuter rail service through Moscow and surrounding areas.
-
A.
MCD-5
MCD-5 is a planned line of the Moscow Central Diameters commuter rail system intended to provide cross-city rail connectivity across Moscow and its surrounding region.
-
B.
M-3
M-3 is a designated highway route, commonly known by its short name M-3, within a regional or national road network.
-
C.
MISR
MISR (Multi-angle Imaging SpectroRadiometer) is a NASA Earth-observing instrument on the Terra satellite that captures multi-angle imagery to study clouds, aerosols, and surface properties.
-
D.
MCD D2
MCD D2 is a branded variant or label associated with the D2 product or model line.
-
E.
A-Train
A-Train is a super-speed-powered superhero and member of the Seven in the TV series "The Boys," known for his reckless behavior and role in key tragic events.
- F. None of above. chosen
Provenance (5 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcbe5308190986bba438d19e852 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4555e48190be39c0a7698b4282 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:04 p.m.