Triple
T4072252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaullism |
E86673
|
entity |
| Predicate | institutionalFeature |
P53331
|
FINISHED |
| Object | strong presidency |
—
|
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: strong presidency | Statement: [Gaullism, institutionalFeature, strong presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionalFeature Context triple: [Gaullism, institutionalFeature, strong presidency]
-
A.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
B.
administrativeFeature
Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
-
C.
memberInstitutionCharacteristic
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
-
D.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
-
E.
charterFeature
Indicates that an entity (such as a service, product, or offering) includes or provides a specific feature as part of a charter or special arrangement.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:38 p.m.