Triple
T6124450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of South Vietnam |
E136560
|
entity |
| Predicate | countryExistedFrom |
P55477
|
FINISHED |
| Object | 1955 |
—
|
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: 1955 | Statement: [President of South Vietnam, countryExistedFrom, 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryExistedFrom Context triple: [President of South Vietnam, countryExistedFrom, 1955]
-
A.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
-
B.
countryFormedIn
chosen
Indicates that a country came into existence or was established during a specified time period or event.
-
C.
countryAfterSuccession
Indicates that one country is the successor state that takes over from another country after a political or territorial succession.
-
D.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
-
E.
countryUsingBeforeIndependence
Indicates that an entity was used or in effect in a particular country prior to that country’s independence.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.