Triple
T13691021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herringswell |
E328259
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Red Lodge |
E301425
|
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: Red Lodge | Statement: [Herringswell, locatedNear, Red Lodge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Lodge Context triple: [Herringswell, locatedNear, Red Lodge]
-
A.
Red Lodge
chosen
Red Lodge is a small village and civil parish in Suffolk, England, known for its modern residential development and proximity to Newmarket.
-
B.
Strathearn
Strathearn is a scenic valley region in central Scotland, known for its rural landscapes, historic towns, and the River Earn running through it.
-
C.
Lightning Ridge
Lightning Ridge is a remote outback town in northwestern New South Wales, Australia, famous for its black opal mining and distinctive artesian bore baths.
-
D.
Grouard
Grouard is a French surname most notably borne by Serge Grouard, a French politician.
-
E.
Wood Mountain
Wood Mountain is a provincial electoral district in Saskatchewan, Canada, known historically for representing rural communities in the southern part of the province.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.