Triple
T21779117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facit |
E537659
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Whitworth |
—
|
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: Whitworth | Statement: [Facit, nearbySettlement, Whitworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitworth Context triple: [Facit, nearbySettlement, Whitworth]
-
A.
Whitworth
chosen
Whitworth is a small town in Lancashire, England, situated in the Rossendale Valley between Rochdale and Bacup.
-
B.
Swasey
Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
-
C.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
D.
Southern Institute of Technology
Southern Institute of Technology is a New Zealand tertiary education provider known for its vocational and applied training programmes and strong presence in the Southland region.
-
E.
Whitner
Whitner is the given first name of American character actor Whit Bissell, known for his numerous supporting roles in mid-20th-century film and television.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462bde288190beef8c4388949132 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.