Triple
T4409657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littleborough railway station |
E94821
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Littleborough |
E17011
|
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: Littleborough | Statement: [Littleborough railway station, serves, Littleborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Littleborough Context triple: [Littleborough railway station, serves, Littleborough]
-
A.
Littleborough
chosen
Littleborough is a small town in Greater Manchester, England, known for its scenic Pennine surroundings and historic role in regional textile and canal-based trade routes.
-
B.
Crowborough
Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
-
C.
Woodnesborough
Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
D.
Narborough
Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
-
E.
Pendlebury
Pendlebury is a suburban area in the City of Salford, Greater Manchester, England, historically known for its coal mining and textile industries.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548e24d08190a38c0bcd4b6ad571 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136465c48190a5bdab81fe1438c4 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:28 p.m.