Triple
T25517731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary-General of Podemos |
E639554
|
entity |
| Predicate | politicalOrientationOfOffice |
P15842
|
FINISHED |
| Object | left-wing |
—
|
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: left-wing | Statement: [Secretary-General of Podemos, politicalOrientationOfOffice, left-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalOrientationOfOffice Context triple: [Secretary-General of Podemos, politicalOrientationOfOffice, left-wing]
-
A.
politicalOrientationOfParty
Indicates the political ideology or orientation that characterizes a political party.
-
B.
politicalOrientationOfMainWinner
Indicates the political orientation or ideology associated with the primary or main winner in a political contest or selection.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
E.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 2:57 p.m.