Triple
T33784490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Familia |
E865749
|
entity |
| Predicate | positionOnAdministration |
P191002
|
FINISHED |
| Object | modernization of state administration |
—
|
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: modernization of state administration | Statement: [Familia, positionOnAdministration, modernization of state administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnAdministration Context triple: [Familia, positionOnAdministration, modernization of state administration]
-
A.
positionOnAdministrativeState
Indicates the specific administrative state or region in which an entity is geographically or jurisdictionally located.
-
B.
roleInAdministration
Indicates that an entity holds a specific position or function within an administrative structure or governing body.
-
C.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
D.
administrativelyIn
Indicates that one entity is located within or belongs to the jurisdiction or governance area of another entity for administrative purposes.
-
E.
positionOnGovernance
chosen
Indicates the stance or viewpoint an entity holds regarding governance structures, policies, or decision-making processes.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 1, 2026, 1:45 a.m.