Triple
T2261642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pessac-Léognan |
E50052
|
entity |
| Predicate | subregionOf |
P9956
|
FINISHED |
| Object | Graves |
E44143
|
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: Graves | Statement: [Pessac-Léognan, subregionOf, Graves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graves Context triple: [Pessac-Léognan, subregionOf, Graves]
-
A.
Graves
chosen
Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
-
B.
Hashimoto
Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
-
C.
Struma
The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
-
D.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
E.
Cushing
Cushing is a surname most notably associated with American jurist and Squaw Valley Ski Resort founder Alexander Cushing, as well as a prominent New England family with historical influence in law and politics.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18aa9d48190893ca32558730e9c |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cdacb48190bc11e9e0e6b61ba0 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:48 p.m.