Triple
T19457165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayle |
E486763
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | HAYLE |
—
|
NE NERFINISHED |
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: HAYLE | Statement: [Hayle, hasPostTown, HAYLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAYLE Context triple: [Hayle, hasPostTown, HAYLE]
-
A.
Hayle
chosen
Hayle is a small coastal town and port in west Cornwall, England, situated at the mouth of the Hayle River and known for its industrial heritage and sandy beaches.
-
B.
Heyl
Heyl is the middle name of John Heyl Vincent, an American Methodist bishop and co-founder of the Chautauqua Institution.
-
C.
Hayer
Hayer is the endonymic term Armenians use in their own language to refer to themselves as a people.
-
D.
Hayne
Hayne is a surname most notably associated with Robert Y. Hayne, a prominent 19th-century American politician and orator from South Carolina.
-
E.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.