Triple
T6122293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Vaux-le-Vicomte |
E136512
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maincy |
E331913
|
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: Maincy | Statement: [Château de Vaux-le-Vicomte, locatedIn, Maincy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maincy Context triple: [Château de Vaux-le-Vicomte, locatedIn, Maincy]
-
A.
Maincy
chosen
Maincy is a commune in north-central France best known for encompassing the Château and Gardens of Vaux-le-Vicomte.
-
B.
Chateaubelair
Chateaubelair is a coastal village on the northwest coast of Saint Vincent, known historically as a fishing community and for its proximity to the La Soufrière volcano.
-
C.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
D.
De Benneville
De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
-
E.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c247b7081909972b40afb165e6f |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135a5c428819090066ad785296736 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.