Triple
T38216470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Turkmenistan |
E1010698
|
entity |
| Predicate | associatedRulingParty |
P6512
|
FINISHED |
| Object | Democratic Party of Turkmenistan |
E1010700
|
NE 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: Democratic Party of Turkmenistan | Statement: [President of Turkmenistan, associatedRulingParty, Democratic Party of Turkmenistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRulingParty Context triple: [President of Turkmenistan, associatedRulingParty, Democratic Party of Turkmenistan]
-
A.
hasGovernmentOfficialParty
chosen
Indicates that a government official is affiliated with or belongs to a specific political party.
-
B.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
-
C.
hasRepresentativeParty
Indicates that an entity is officially represented or acted for by a particular political party or organized group.
-
D.
partyOfCandidate
Indicates the political party with which a given candidate is affiliated.
-
E.
affectedPoliticalParty
Indicates that a political party is impacted or influenced by a particular event, action, policy, or situation.
- F. None of above.
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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41854d4d7c819094cb7a21f4af02bf |
completed | June 28, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.