Triple
T38216469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Turkmenistan |
E1010698
|
entity |
| Predicate | associatedPartySystem |
P82265
|
FINISHED |
| Object | dominant-party system |
—
|
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: dominant-party system | Statement: [President of Turkmenistan, associatedPartySystem, dominant-party system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPartySystem Context triple: [President of Turkmenistan, associatedPartySystem, dominant-party system]
-
A.
associatedWithPartySystem
chosen
Indicates that an entity is linked or connected to a particular party system, such as a political or organizational party structure.
-
B.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
C.
arePartyTo
Indicates that the entities are participants or signatories in the same agreement, contract, or legal arrangement.
-
D.
collaboratingParty
Indicates that an entity is actively working together with another entity toward a shared goal, project, or activity.
-
E.
participatingParty
Indicates that an entity is involved as a participant in a particular event, activity, or transaction.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.