Triple
T31331761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouyei people |
E799048
|
entity |
| Predicate | governmentRecognitionYear |
P194665
|
FINISHED |
| Object | 1950s (PRC ethnic classification) |
—
|
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: 1950s (PRC ethnic classification) | Statement: [Bouyei people, governmentRecognitionYear, 1950s (PRC ethnic classification)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentRecognitionYear Context triple: [Bouyei people, governmentRecognitionYear, 1950s (PRC ethnic classification)]
-
A.
stateRecognitionYear
chosen
Indicates the year in which an entity was officially recognized or designated by a state authority.
-
B.
recognitionDate
Indicates the date on which an entity, status, or achievement is formally acknowledged or officially recognized.
-
C.
constitutionalRecognitionYear
Indicates the year in which a constitution formally recognizes or grants status to the referenced entity or concept.
-
D.
recognitionDateByUnitedStates
Indicates the date on which the United States formally recognized the specified entity.
-
E.
IOCRecognitionYear
Indicates the year in which an entity received official recognition from the International Olympic Committee (IOC).
- 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: April 29, 2026, 9:16 p.m.