Triple
T18580049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vias |
E454085
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Languedoc coastal plain |
—
|
NE NERFINISHED |
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: Languedoc coastal plain | Statement: [Vias, locatedIn, Languedoc coastal plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Languedoc coastal plain Context triple: [Vias, locatedIn, Languedoc coastal plain]
-
A.
Languedoc coast
chosen
The Languedoc coast is a stretch of Mediterranean shoreline in southern France known for its sandy beaches, seaside resorts, and historic coastal towns.
-
B.
Béziers plain
The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
-
C.
Montpellier plain
The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
-
D.
Roussillon plain
The Roussillon plain is a fertile coastal lowland in southern France near the Mediterranean, known for its agriculture, vineyards, and seaside resorts.
-
E.
Languedoc
Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.