Triple
T6707969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort William railway station |
E153055
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FTW
FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
|
E614244
|
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: FTW | Statement: [Fort William railway station, hasStationCode, FTW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FTW Context triple: [Fort William railway station, hasStationCode, FTW]
-
A.
FTW
FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
-
B.
LFTW
LFTW is the ICAO airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
C.
F.U.T.W.
F.U.T.W. is a track by Jay-Z from his album Magna Carta Holy Grail that reflects on legacy, power, and the struggles of Black excellence.
-
D.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
E.
FTTA
FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
- 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: FTW Triple: [Fort William railway station, hasStationCode, FTW]
Generated description
FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FTW Target entity description: FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
-
A.
FTW
FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
-
B.
LFTW
LFTW is the ICAO airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
C.
F.U.T.W.
F.U.T.W. is a track by Jay-Z from his album Magna Carta Holy Grail that reflects on legacy, power, and the struggles of Black excellence.
-
D.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
E.
FTTA
FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1049b7c8190a970a165d15b440b |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008aeac08190887a7bf5703b69f4 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7067a932c8190a039a9ab2fd5d8a5 |
completed | March 27, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7073483a4819084392c89a84f63b1 |
completed | March 27, 2026, 10:39 p.m. |
Created at: March 27, 2026, 2:06 p.m.