Triple
T21563608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabaltegi |
E532102
|
entity |
| Predicate | themePolicy |
P144258
|
FINISHED |
| Object | no fixed thematic restrictions |
—
|
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: no fixed thematic restrictions | Statement: [Zabaltegi, themePolicy, no fixed thematic restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themePolicy Context triple: [Zabaltegi, themePolicy, no fixed thematic restrictions]
-
A.
commentPolicy
Indicates that an entity defines rules or guidelines governing how comments may be created, displayed, or moderated in relation to another entity.
-
B.
issuesPolicyOn
Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
-
C.
mediaPolicy
Indicates a relationship where an entity defines or is governed by rules and guidelines for creating, using, or managing media content.
-
D.
subjectToPolicyDiscussionIn
Indicates that something is being considered, debated, or reviewed within a particular policy forum, process, or context.
-
E.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e6c19c81909eaae408d94f0625 |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.