Triple
T4572795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koen Lamberts |
E123072
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Warwick |
E146701
|
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: Warwick | Statement: [Koen Lamberts, workLocation, Warwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warwick Context triple: [Koen Lamberts, workLocation, Warwick]
-
A.
Warwick
chosen
Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
-
B.
Warwick
Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
-
C.
Warwick
Warwick is a regional city in Queensland, Australia, known as an agricultural and service hub on the Southern Downs.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Glocester
Glocester is a rural town in northwestern Rhode Island known for its historic villages, woodlands, and small-town New England character.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3d709308190aeb6a71a9dabdd3c |
completed | March 20, 2026, 11:10 p.m. |
Created at: March 20, 2026, 1:10 p.m.