Triple
T31409907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MHP |
E801230
|
entity |
| Predicate | positionOnPresidentialSystem |
P196984
|
FINISHED |
| Object | supported transition to presidential system in Turkey |
—
|
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: supported transition to presidential system in Turkey | Statement: [MHP, positionOnPresidentialSystem, supported transition to presidential system in Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnPresidentialSystem Context triple: [MHP, positionOnPresidentialSystem, supported transition to presidential system in Turkey]
-
A.
constitutionalPosition
Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
-
B.
positionOnStateGovernment
Indicates that an entity holds an official role or seat within a state-level government.
-
C.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
D.
seatInPoliticalSystem
Indicates that an entity holds a formal position or seat within a specified political system or governing body.
-
E.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 30, 2026, 8:37 p.m.