Triple
T8894386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle and Fishes |
E211766
|
entity |
| Predicate | creatorBirthPlace |
P1
|
FINISHED |
| Object | Argenteuil |
E211760
|
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: Argenteuil | Statement: [Bottle and Fishes, creatorBirthPlace, Argenteuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argenteuil Context triple: [Bottle and Fishes, creatorBirthPlace, Argenteuil]
-
A.
Argenteuil
chosen
Argenteuil is a suburban commune in the northwestern outskirts of Paris, France, known historically as an industrial center and as a subject of Impressionist painters.
-
B.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
C.
Sillery
Sillery is a renowned Grand Cru wine-producing village in France’s Champagne region, noted especially for its high-quality Pinot Noir and Chardonnay grapes.
-
D.
Le Bourget-du-Lac
Le Bourget-du-Lac is a French lakeside commune in the Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting, historical abbey, and proximity to the Alps.
-
E.
Senneville
Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bc92c881908aab536af9b35178 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1e46a48190b7a559f9d9bd348d |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.