Triple
T11269861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre de Recerca en Economia Internacional |
E266782
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CREI |
E266783
|
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: CREI | Statement: [Centre de Recerca en Economia Internacional, shortName, CREI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CREI Context triple: [Centre de Recerca en Economia Internacional, shortName, CREI]
-
A.
CREI
chosen
CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
-
B.
CREA
CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
-
C.
CRE
CRE is the French Energy Regulatory Commission, the independent authority overseeing France’s electricity and gas markets.
-
D.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
-
E.
CRI
CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccdf9e0c819098a921146e8d6e30 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.