Triple
T14994767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleetwood |
E373927
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Fleetwood station
Fleetwood station was the former railway terminus serving the coastal town of Fleetwood in Lancashire, England.
|
E1131166
|
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: Fleetwood station | Statement: [Fleetwood, hasRailwayStation, Fleetwood station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleetwood station Context triple: [Fleetwood, hasRailwayStation, Fleetwood station]
-
A.
Fleetwood station
Fleetwood station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the Fleetwood neighborhood of Mount Vernon, New York.
-
B.
Woodland station
Woodland station is a light rail stop on Boston’s MBTA Green Line D branch serving the Newton area.
-
C.
Netherwood station
Netherwood station is a commuter rail stop in Plainfield, New Jersey, served by NJ Transit trains on the Raritan Valley Line.
-
D.
Oak station
Oak station is a light rail stop on Denver’s Regional Transportation District (RTD) W Line serving the Lakewood, Colorado area.
-
E.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
- 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: Fleetwood station Triple: [Fleetwood, hasRailwayStation, Fleetwood station]
Generated description
Fleetwood station was the former railway terminus serving the coastal town of Fleetwood in Lancashire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fleetwood station Target entity description: Fleetwood station was the former railway terminus serving the coastal town of Fleetwood in Lancashire, England.
-
A.
Fleetwood station
Fleetwood station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the Fleetwood neighborhood of Mount Vernon, New York.
-
B.
Woodland station
Woodland station is a light rail stop on Boston’s MBTA Green Line D branch serving the Newton area.
-
C.
Netherwood station
Netherwood station is a commuter rail stop in Plainfield, New Jersey, served by NJ Transit trains on the Raritan Valley Line.
-
D.
Oak station
Oak station is a light rail stop on Denver’s Regional Transportation District (RTD) W Line serving the Lakewood, Colorado area.
-
E.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97609b3481908ed481f9f061b148 |
completed | May 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe980155748190aef4ce876f985ef2 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 10, 2026, 2:53 a.m.