Triple
T23217920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakizaya |
E580799
|
entity |
| Predicate | hasDistinctTraditions |
P46023
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sakizaya, hasDistinctTraditions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctTraditions Context triple: [Sakizaya, hasDistinctTraditions, true]
-
A.
hasAlternativeParentTraditions
Indicates that an entity is associated with additional, non-primary parent traditions beyond its main lineage or origin.
-
B.
hasMulticulturalTradition
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
-
C.
haveDistinctCulinaryTraditions
Indicates that the related entities possess different and distinguishable culinary practices, cuisines, or food-related customs from one another.
-
D.
variantTraditions
chosen
Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
-
E.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916653f08190a7dcbc659c6b6a25 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:08 p.m.