Triple
T7153755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CESE |
E166756
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CESE |
E166756
|
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: CESE | Statement: [CESE, shortName, CESE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CESE Context triple: [CESE, shortName, CESE]
-
A.
CESE
chosen
CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
-
B.
CESCE
CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
-
C.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
D.
CEPES
CEPES is a regional center of UNESCO focused on higher education in Europe, promoting policy development, research, and international cooperation in the sector.
-
E.
CEPE
CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f68384819095e6aef89555442a |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb0ea288190b7eef76de30a3a1e |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:46 p.m.