Triple
T7177684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Muoi |
E167361
|
entity |
| Predicate | primeMinisterEndTime |
P371
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Do Muoi, primeMinisterEndTime, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primeMinisterEndTime Context triple: [Do Muoi, primeMinisterEndTime, 1991]
-
A.
primeMinisterTermEnd
chosen
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
B.
endTimeAsDeputyPrimeMinister
Indicates the date and time at which an individual’s tenure in the role of Deputy Prime Minister comes to an end.
-
C.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
D.
primeMinisterTerm
Indicates the period of time during which a person holds the office and exercises the role of prime minister of a government.
-
E.
lastPrimeMinister
Indicates that the subject is the most recent individual to have held the office of prime minister of the object entity.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.