Triple
T34785198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan Opening |
E1002785
|
entity |
| Predicate | inOpenCatalan |
P181611
|
FINISHED |
| Object | Black captures on c4 early |
—
|
LITERAL 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: Black captures on c4 early | Statement: [Catalan Opening, inOpenCatalan, Black captures on c4 early]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inOpenCatalan Context triple: [Catalan Opening, inOpenCatalan, Black captures on c4 early]
-
A.
hasNameInCatalan
Indicates that an entity is associated with a specific name expressed in the Catalan language.
-
B.
officialNameInCatalan
Indicates the officially recognized name of an entity when expressed in the Catalan language.
-
C.
leadingCandidateOfCatalunyaSiQueEsPot
Indicates that one entity is the leading electoral candidate representing the political platform "Catalunya Sí que es Pot."
-
D.
hasNameInValencian
Indicates that an entity has a specific name or designation when expressed in the Valencian language.
-
E.
seatsWonByCatalunyaSiQueEsPot
Indicates the number of legislative seats that were won by the political group "Catalunya Sí que es Pot" in a given election or parliamentary body.
- F. None of above. chosen
Provenance (4 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.