Triple
T4008544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langworthy tram stop |
E89585
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Langworthy |
E161820
|
NE FINISHED |
How this triple was built (2 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: Langworthy | Statement: [Langworthy tram stop, locatedIn, Langworthy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langworthy Context triple: [Langworthy tram stop, locatedIn, Langworthy]
-
A.
Langworthy
chosen
Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
-
B.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
C.
Wraysbury
Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
-
D.
Holwell
Holwell is a small rural village located within the North Hertfordshire district of Hertfordshire, England.
-
E.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa647f80819081180eb267f1cfcc |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c6ae0ec819099c229a4cfe926f2 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.