Triple
T34379799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Larrivet Haut-Brion |
E882401
|
entity |
| Predicate | wineMakingRegion |
P6176
|
FINISHED |
| Object | South of Bordeaux city |
—
|
LITERAL 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: South of Bordeaux city | Statement: [Château Larrivet Haut-Brion, wineMakingRegion, South of Bordeaux city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineMakingRegion Context triple: [Château Larrivet Haut-Brion, wineMakingRegion, South of Bordeaux city]
-
A.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
-
B.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
C.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
-
D.
wineLawRegionName
Indicates that a specific name refers to the legal wine-producing region defined by wine regulations.
-
E.
wineSubregion
Indicates that one region is a subregion within a larger, defined wine-producing region.
- F. None of above.
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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.