Triple
T16777291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corbières Massif |
E407758
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tuchan |
E392498
|
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: Tuchan | Statement: [Corbières Massif, contains, Tuchan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuchan Context triple: [Corbières Massif, contains, Tuchan]
-
A.
Tuchan
chosen
Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
-
B.
Tschira
Tschira is a German surname most notably associated with Klaus Tschira, a co-founder of the software company SAP and a prominent philanthropist in science and education.
-
C.
Tjuchem
Tjuchem is a small village in the province of Groningen in the Netherlands, known for its rural character and agricultural surroundings.
-
D.
Pomarance
Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
-
E.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.