Triple
T21399029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence |
E527861
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Florent |
—
|
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: Florent | Statement: [Florence, relatedName, Florent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florent Context triple: [Florence, relatedName, Florent]
-
A.
Florent
chosen
Florent is the idealistic and wrongfully exiled protagonist of Émile Zola’s novel *Le Ventre de Paris*, whose return to Paris’s central markets exposes the social and political tensions of Second Empire France.
-
B.
Avignon
Avignon is a historic city in southeastern France renowned for its medieval architecture, including the Palais des Papes, and its role as a former seat of the papacy.
-
C.
Clermont-Ferrand
Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
-
D.
Troyes
Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
-
E.
Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.