Triple
T3981856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CREA corpus |
E85775
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
CREA
CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
|
E403329
|
NE FINISHED |
How this triple was built (4 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: CREA | Statement: [CREA corpus, acronym, CREA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CREA Context triple: [CREA corpus, acronym, CREA]
-
A.
CREI
CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
-
B.
Create
Create is an American public television multicast network focused on how-to and lifestyle programming, including cooking, travel, home improvement, and crafts.
-
C.
CREO Movement
CREO Movement is an Ecuadorian political party associated with center-right, pro-market policies and the political career of former president Guillermo Lasso.
-
D.
Universal Creative
Universal Creative is the design and development division of Universal Parks & Resorts responsible for creating many of its iconic theme park attractions and experiences.
-
E.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CREA Triple: [CREA corpus, acronym, CREA]
Generated description
CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CREA Target entity description: CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
-
A.
CREI
CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
-
B.
Create
Create is an American public television multicast network focused on how-to and lifestyle programming, including cooking, travel, home improvement, and crafts.
-
C.
CREO Movement
CREO Movement is an Ecuadorian political party associated with center-right, pro-market policies and the political career of former president Guillermo Lasso.
-
D.
Universal Creative
Universal Creative is the design and development division of Universal Parks & Resorts responsible for creating many of its iconic theme park attractions and experiences.
-
E.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
- F. None of above. chosen
Provenance (5 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9db804c8190ad96656cb7b1a4fe |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540257c188190899b00bf1d0247d2 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b54111e5188190ab8ec23124c22981 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54193105c81909e2a4e368aae36e8 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:33 p.m.