Triple
T2871137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Bollin |
E63563
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hale |
E68387
|
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: Hale | Statement: [River Bollin, flowsThrough, Hale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hale Context triple: [River Bollin, flowsThrough, Hale]
-
A.
Hale
Hale is a surname most notably associated with American solar astronomer George Ellery Hale, a pioneer in the development of modern astrophysical observatories.
-
B.
Hale
chosen
Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
-
C.
Tuthill
Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Hadden
Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe2dcb48190a194253e733d14af |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db01d348190945ab982ce5c5b2d |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.