Triple
T7154749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Energy Regulatory Commission |
E166780
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CRE |
E644905
|
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: CRE | Statement: [French Energy Regulatory Commission, abbreviation, CRE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRE Context triple: [French Energy Regulatory Commission, abbreviation, CRE]
-
A.
CRE
chosen
CRE is the French Energy Regulatory Commission, the independent authority overseeing France’s electricity and gas markets.
-
B.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
C.
CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
-
D.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
E.
CR
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80c747c8190a017a2b1c3e78a3f |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8f42abc8190856210b8dea0a6de |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:46 p.m.