Triple
T19366733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezayre |
E484421
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Lezayre |
—
|
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: Lezayre | Statement: [Lezayre, hasOfficialName, Lezayre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lezayre Context triple: [Lezayre, hasOfficialName, Lezayre]
-
A.
Lezayre
chosen
Lezayre is a rural parish on the Isle of Man known for its countryside landscapes and proximity to the town of Ramsey.
-
B.
Lezoux
Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
-
C.
Delarozière
Delarozière is a French surname most notably associated with François Delarozière, a designer and artistic director known for his large-scale mechanical creations.
-
D.
Laveissière
Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ac26d4819095836d737b629cf1 |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.