Triple
T10362923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esquerra Republicana de Catalunya |
E244180
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
ERC
ERC is a left-wing pro-independence political party in Catalonia that advocates for Catalan self-determination and social democracy.
|
E858048
|
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: ERC | Statement: [Esquerra Republicana de Catalunya, hasAbbreviation, ERC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERC Context triple: [Esquerra Republicana de Catalunya, hasAbbreviation, ERC]
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ERC
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
-
C.
ERC
ERC is a major international rallying series in Europe sanctioned by the FIA, featuring multi-stage rally events across various European countries.
-
D.
ERC
ERC is the undergraduate college at the University of California, San Diego named after former First Lady Eleanor Roosevelt, emphasizing international understanding and global citizenship.
-
E.
ERC3
ERC3 is a support class within the European Rally Championship that features lower-powered, front-wheel-drive rally cars aimed at developing emerging driving talent.
- 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: ERC Triple: [Esquerra Republicana de Catalunya, hasAbbreviation, ERC]
Generated description
ERC is a left-wing pro-independence political party in Catalonia that advocates for Catalan self-determination and social democracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERC Target entity description: ERC is a left-wing pro-independence political party in Catalonia that advocates for Catalan self-determination and social democracy.
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ERC
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
-
C.
ERC
ERC is a major international rallying series in Europe sanctioned by the FIA, featuring multi-stage rally events across various European countries.
-
D.
ERC
ERC is the undergraduate college at the University of California, San Diego named after former First Lady Eleanor Roosevelt, emphasizing international understanding and global citizenship.
-
E.
ERC3
ERC3 is a support class within the European Rally Championship that features lower-powered, front-wheel-drive rally cars aimed at developing emerging driving talent.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e962f08c8190a7ac489dc524510d |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618fac288190a5da7549e5ccbdf0 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77060331c8190a773a5f9ffadf1d6 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, noon