Triple
T21599868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CECh |
E533006
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CECh |
—
|
NE NERFINISHED |
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: CECh | Statement: [CECh, acronym, CECh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CECh Context triple: [CECh, acronym, CECh]
-
A.
CECh
chosen
CECh is the Spanish acronym for the Episcopal Conference of Chile, the assembly of Catholic bishops responsible for coordinating the pastoral and administrative activities of the Church in Chile.
-
B.
CEHI
CEHI is a regional organization dedicated to promoting environmental health and sustainable development across Caribbean states.
-
C.
CEHC
CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
-
D.
ECHU
ECHU is the station code for Echuca railway station in Victoria, Australia.
-
E.
CHE
CHE is the three-letter ISO 3166-1 alpha-3 country code for Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.