Triple
T21586033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warwick District |
E532652
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kenilworth |
—
|
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: Kenilworth | Statement: [Warwick District, contains, Kenilworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenilworth Context triple: [Warwick District, contains, Kenilworth]
-
A.
Kenilworth
chosen
Kenilworth is a historic market town in central England best known for the extensive ruins of Kenilworth Castle and its connections to Tudor and medieval history.
-
B.
Kenilworth
Kenilworth is a residential suburb in Cape Town, South Africa, known for its tree-lined streets, mixed-use character, and proximity to major schools and transport routes.
-
C.
Kenilworth
Kenilworth is a small rural town in Queensland’s Sunshine Coast hinterland known for its scenic countryside, dairy farming, and outdoor recreation.
-
D.
Warwick
Warwick is a surname of English origin borne by various notable individuals and families, including members of the Drinkard and Warwick musical families.
-
E.
Warwick
Warwick is a central character in the 1990 horror film "Graveyard Shift," known for his role in the sinister events that unfold in the movie's haunted textile mill.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb60032881908dd35ac76392ad07 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.