Triple
T25100386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the State Presidium of Democratic Kampuchea |
E628705
|
entity |
| Predicate | startTimeOfSihanoukTenure |
P42979
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [President of the State Presidium of Democratic Kampuchea, startTimeOfSihanoukTenure, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSihanoukTenure Context triple: [President of the State Presidium of Democratic Kampuchea, startTimeOfSihanoukTenure, 1976]
-
A.
endTimeOfSihanoukTenure
Indicates the point in time at which Sihanouk’s tenure in a given role or office concludes.
-
B.
reignStartAsKingOfLaos
Indicates the time at which an individual begins their reign as king of Laos.
-
C.
startTimeAsHeadOfState
chosen
Indicates the date and time when an individual begins their tenure or service as a head of state.
-
D.
becameCapitalOfCambodia
Indicates that a place assumed the official status and role of capital city of Cambodia.
-
E.
startTimeAsDeFactoLeaderOfAlbania
Indicates the date and time at which an entity effectively began serving as the de facto leader of Albania, regardless of formal title or recognition.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:25 a.m.