Triple
T13837743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingleton |
E332573
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | CARNFORTH |
E332576
|
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: CARNFORTH | Statement: [Ingleton, postTown, CARNFORTH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CARNFORTH Context triple: [Ingleton, postTown, CARNFORTH]
-
A.
CARNFORTH
chosen
Carnforth is a small market town in Lancashire, England, known historically as a railway junction and for its association with the film "Brief Encounter."
-
B.
Ramsbottom
Ramsbottom is a small market town in Greater Manchester, England, known for its industrial heritage, scenic Irwell Valley setting, and preserved East Lancashire Railway.
-
C.
Clitheroe
Clitheroe is a historic market town in northern England, known for its medieval castle and scenic location in the Ribble Valley.
-
D.
Saddleworth
Saddleworth is a civil parish and rural area in the Pennines of Greater Manchester, England, known for its moorland landscapes, historic villages, and traditional cultural events.
-
E.
Accrington
Accrington is a town in Lancashire, England, historically known for its textile industry and the production of Accrington brick.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f4318881909f6541f40ef87856 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.