Triple
T33549619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Catalan regional election |
E859298
|
entity |
| Predicate | leadingCandidateOfCiutadans |
P1221
|
FINISHED |
| Object | Inés Arrimadas |
—
|
NE NERFINISHED |
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: Inés Arrimadas | Statement: [2015 Catalan regional election, leadingCandidateOfCiutadans, Inés Arrimadas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadingCandidateOfCiutadans Context triple: [2015 Catalan regional election, leadingCandidateOfCiutadans, Inés Arrimadas]
-
A.
capitalCandidate
Indicates that an entity is being considered or proposed as the capital of a given region or political unit.
-
B.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
-
C.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
D.
mainGovernmentCandidate
Indicates that the subject is the primary or officially designated candidate for a government position, office, or role.
-
E.
mainCandidates
chosen
Indicates that the referenced entities are the primary or most prominent candidates within a given selection or context.
- F. None of above.
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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:39 a.m.