Triple
T15549252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Dane |
E370696
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Holmes Chapel |
E104394
|
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: Holmes Chapel | Statement: [River Dane, flowsThrough, Holmes Chapel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holmes Chapel Context triple: [River Dane, flowsThrough, Holmes Chapel]
-
A.
Holmes Chapel
chosen
Holmes Chapel is a large village and civil parish in Cheshire, England, known for its rural character, transport links, and association with singer Harry Styles.
-
B.
Forest Chapel, Alabama
Forest Chapel, Alabama is a small unincorporated community located in Morgan County in the northern part of the state.
-
C.
Branchton
Branchton is a small locality known primarily for its railway station, which serves as a transport link for the surrounding area.
-
D.
Cahaba Village
Cahaba Village is a shopping and residential development in Mountain Brook, Alabama, known for its upscale retail and dining options.
-
E.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:08 a.m.