Triple
T1081337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Democratic Party (Yemen) |
E23951
|
entity |
| Predicate | positionInPoliticalSystem |
P4354
|
FINISHED |
| Object | minor party |
—
|
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: minor party | Statement: [Liberal Democratic Party (Yemen), positionInPoliticalSystem, minor party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPoliticalSystem Context triple: [Liberal Democratic Party (Yemen), positionInPoliticalSystem, minor party]
-
A.
politicalSpectrumPosition
Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
-
B.
electoralPosition
Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
-
C.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
D.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
E.
partySystemRole
chosen
Indicates the specific functional role or capacity that a party assumes within a given system or context.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b946af788190b400644a2dec68c3 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.