Triple
T8074515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Vauvenargues |
E188458
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vauvenargues |
E188458
|
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: Vauvenargues | Statement: [Château de Vauvenargues, locatedIn, Vauvenargues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vauvenargues Context triple: [Château de Vauvenargues, locatedIn, Vauvenargues]
-
A.
Vauvenargues
chosen
Vauvenargues is a small commune in southeastern France, known for its picturesque Provençal landscape and its historic château once owned by Pablo Picasso.
-
B.
Mirabeau
Mirabeau is the given name of Mirabeau B. Lamar, the second president of the Republic of Texas and a prominent 19th-century American political figure.
-
C.
Mirabeau
Mirabeau is a famous tight right-hand corner on the Monaco Grand Prix street circuit, known for its downhill approach and importance for overtaking and race strategy.
-
D.
Malesherbes
Malesherbes was a prominent French statesman and lawyer best known for courageously defending King Louis XVI during his revolutionary trial.
-
E.
Malesherbes
Malesherbes is a commune in north-central France that serves as a terminus of the RER D suburban rail line connecting it to the Paris metropolitan area.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404c513c8190af54d6d6b6d1a81d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f000308190a55379f8bf67f0cd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:27 p.m.