Triple
T10843296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TÜRGEV |
E255943
|
entity |
| Predicate | hasPoliticalRelevance |
P28799
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [TÜRGEV, hasPoliticalRelevance, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalRelevance Context triple: [TÜRGEV, hasPoliticalRelevance, true]
-
A.
hasPoliticalSignificanceFor
chosen
Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
-
B.
hasRelativeInPolitics
Indicates that one entity has a family member who is or was involved in politics.
-
C.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
D.
hasPoliticalCoverage
Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
-
E.
isPoliticalHub
Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750cf3fd08190b9c509929dc43284 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.