Triple
T3853556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Languedoc AOC |
E85355
|
entity |
| Predicate | subregionsInclude |
P9956
|
FINISHED |
| Object | Pézenas |
E343792
|
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: Pézenas | Statement: [Languedoc AOC, subregionsInclude, Pézenas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pézenas Context triple: [Languedoc AOC, subregionsInclude, Pézenas]
-
A.
Pézenas
chosen
Pézenas is a historic town in southern France’s Hérault department, known for its well-preserved medieval center and association with figures like Molière and the Prince de Conti.
-
B.
Marignane
Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
-
C.
Leucate
Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
-
D.
Frontignan
Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
-
E.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90e5f408190abf8353e153d1558 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5283ccf68819086c6349ceb71f099 |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 9, 2026, 3:19 p.m.