Triple
T16925136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogges Heritage Trust |
E410552
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Witney |
E212382
|
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: Witney | Statement: [Cogges Heritage Trust, locatedIn, Witney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witney Context triple: [Cogges Heritage Trust, locatedIn, Witney]
-
A.
Witney
Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
-
B.
Witney
chosen
Witney is a historic market town in Oxfordshire, England, known for its traditional blanket-making industry and position on the River Windrush.
-
C.
Whitney
"Whitney" is an American sitcom starring comedian Whitney Cummings that aired on NBC in the early 2010s.
-
D.
Whitney
Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
-
E.
Whitney
Whitney is the middle name of George Whitney Calhoun, a co-founder of the Green Bay Packers.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1ebdc8190b39a9469636de01e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd8a88c8190adda386b62fe543c |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.