Triple
T8771987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chef d’état-major des armées |
E208485
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CEMA |
E206240
|
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: CEMA | Statement: [Chef d’état-major des armées, shortName, CEMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEMA Context triple: [Chef d’état-major des armées, shortName, CEMA]
-
A.
CEMA
chosen
CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
-
B.
CEMAT
CEMAT is the official abbreviation for the Chief of Staff of the French Army, the highest-ranking officer responsible for leading and overseeing France’s land forces.
-
C.
CEMM
CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
-
D.
CEMO
CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
-
E.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2c54c08190a904723d1f0527a4 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c0125c819098deb7a54688b125 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.