Triple
T15249511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falmer railway station |
E364479
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FMR
FMR is the National Rail station code for Falmer railway station in East Sussex, England.
|
E1144929
|
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: FMR | Statement: [Falmer railway station, hasStationCode, FMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMR Context triple: [Falmer railway station, hasStationCode, FMR]
-
A.
FMR LLC
FMR LLC is the parent company of Fidelity Investments, one of the largest and most influential financial services and asset management firms in the world.
-
B.
FM!
FM! is a 2018 studio album by American rapper Vince Staples that blends West Coast hip-hop with a conceptual radio-show format and sharp social commentary.
-
C.
FRMF
FRMF is the abbreviation for the Royal Moroccan Football Federation, the governing body of football in Morocco.
-
D.
FUM
FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
-
E.
FMFM 1
FMFM 1 was the former designation of the United States Marine Corps’ foundational warfighting doctrine manual, later updated and retitled as Marine Corps Doctrinal Publication 1.
- 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: FMR Triple: [Falmer railway station, hasStationCode, FMR]
Generated description
FMR is the National Rail station code for Falmer railway station in East Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FMR Target entity description: FMR is the National Rail station code for Falmer railway station in East Sussex, England.
-
A.
FMR LLC
FMR LLC is the parent company of Fidelity Investments, one of the largest and most influential financial services and asset management firms in the world.
-
B.
FM!
FM! is a 2018 studio album by American rapper Vince Staples that blends West Coast hip-hop with a conceptual radio-show format and sharp social commentary.
-
C.
FRMF
FRMF is the abbreviation for the Royal Moroccan Football Federation, the governing body of football in Morocco.
-
D.
FUM
FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
-
E.
FMFM 1
FMFM 1 was the former designation of the United States Marine Corps’ foundational warfighting doctrine manual, later updated and retitled as Marine Corps Doctrinal Publication 1.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd4ac4e48190b011b34cb5205b68 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedeb0c4cc81908529ae29f8080ef2 |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedfa514808190b4a50e87833c5f69 |
completed | May 9, 2026, 7:17 a.m. |
Created at: April 10, 2026, 3:13 a.m.