Triple
T1983342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Étienne |
E43079
|
entity |
| Predicate | mayorPoliticalAffiliation |
P29690
|
FINISHED |
| Object | centre-right |
—
|
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: centre-right | Statement: [Saint-Étienne, mayorPoliticalAffiliation, centre-right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorPoliticalAffiliation Context triple: [Saint-Étienne, mayorPoliticalAffiliation, centre-right]
-
A.
otherMajorParty
Indicates that an entity is affiliated with a major political party other than a specified primary or reference party.
-
B.
majorityPartyInHouse
Indicates that a given political party holds more seats than any other party in a specified legislative house.
-
C.
laterPartyAffiliationFor2024Campaign
Indicates that an entity’s party affiliation during the 2024 campaign occurs after and supersedes an earlier party affiliation.
-
D.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
E.
partyAffiliationOfCurrentOfficeHolder
chosen
Indicates the political party with which the person currently holding a given office is affiliated.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.