Triple
T7470799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agir |
E176497
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Agir |
E176497
|
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: Agir | Statement: [Agir, hasAbbreviation, Agir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agir Context triple: [Agir, hasAbbreviation, Agir]
-
A.
Agir
chosen
Agir is a French centre-right political party known for its pro-European, liberal stance and frequent cooperation with President Emmanuel Macron’s centrist movement.
-
B.
Rousset
Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
-
C.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
D.
Deauzya
Deauzya is the given first name of American professional basketball player DiDi Richards.
-
E.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8347b36388190989d2bcbe3f747bf |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.