Triple
T5598891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Democratic Republic of Yemen |
E147064
|
entity |
| Predicate | hadPrimeMinisterTitle |
P7410
|
FINISHED |
| Object | Prime Minister |
—
|
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: Prime Minister | Statement: [People's Democratic Republic of Yemen, hadPrimeMinisterTitle, Prime Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPrimeMinisterTitle Context triple: [People's Democratic Republic of Yemen, hadPrimeMinisterTitle, Prime Minister]
-
A.
heldOfficeOfPrimeMinisterThrough
Indicates that an entity continuously occupied and exercised the role and responsibilities of Prime Minister throughout a specified time period.
-
B.
previousHeadOfStateTitle
Indicates that one entity is the official title or designation held by another entity in its role as a former head of state.
-
C.
producedPrimeMinister
Indicates that one entity (typically a place, institution, or group) has been the origin or source of an individual who became a prime minister.
-
D.
hasMinisterTitle
chosen
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
E.
succeededByPrimeMinister
Indicates that one prime minister directly follows another in office as their immediate successor.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d82870819087f9591b5a1021ce |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.