Triple
T1265474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxfordshire |
E12590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Witney |
E10799
|
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: [Oxfordshire, contains, Witney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witney Context triple: [Oxfordshire, contains, Witney]
-
A.
Witney
chosen
Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
-
B.
Whitney
Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
-
C.
Billie
Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
-
D.
Belinda
Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
-
E.
Whitney Hoover
Whitney Hoover is an individual notable enough to be recognized as a significant bearer of the Hoover surname.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99874f748190bfffe8fb5a649d11 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.