Triple
T13154265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura region |
E312542
|
entity |
| Predicate | hasWineGrape |
P37246
|
FINISHED |
| Object | Trousseau |
E662396
|
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: Trousseau | Statement: [Jura region, hasWineGrape, Trousseau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trousseau Context triple: [Jura region, hasWineGrape, Trousseau]
-
A.
Trousseau
chosen
Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
-
B.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
C.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
-
D.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
E.
Barré
Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.