Triple
T15912571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaux AOC |
E385884
|
entity |
| Predicate | locatedInCommune |
P40
|
FINISHED |
| Object |
Labarde
Labarde is a commune in southwestern France’s Bordeaux wine region, known for producing prestigious Margaux appellation wines.
|
E1202080
|
NE FINISHED |
How this triple was built (4 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: Labarde | Statement: [Margaux AOC, locatedInCommune, Labarde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labarde Context triple: [Margaux AOC, locatedInCommune, Labarde]
-
A.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
D.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
-
E.
Noailles
Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Labarde Triple: [Margaux AOC, locatedInCommune, Labarde]
Generated description
Labarde is a commune in southwestern France’s Bordeaux wine region, known for producing prestigious Margaux appellation wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Labarde Target entity description: Labarde is a commune in southwestern France’s Bordeaux wine region, known for producing prestigious Margaux appellation wines.
-
A.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
D.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
-
E.
Noailles
Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
- F. None of above. chosen
Provenance (5 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a0010b8f1188190bb0dc151a754edb9 |
completed | May 10, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011145e2081909b0486e29e6d3e02 |
completed | May 10, 2026, 5:01 a.m. |
Created at: April 10, 2026, 4:52 a.m.