Triple
T16553138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gayo people |
E402121
|
entity |
| Predicate | haveOralLiterature |
P32654
|
FINISHED |
| Object | epic narratives |
—
|
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: epic narratives | Statement: [Gayo people, haveOralLiterature, epic narratives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveOralLiterature Context triple: [Gayo people, haveOralLiterature, epic narratives]
-
A.
hasRichOralTradition
chosen
Indicates that an entity is associated with a longstanding, culturally significant body of stories, histories, or knowledge transmitted primarily through spoken word rather than written texts.
-
B.
basedOnOralTraditionsCollectedBy
Indicates that something is derived from or informed by oral traditions that were gathered or recorded by a specified collector or source.
-
C.
hasOratory
Indicates that one entity possesses or is characterized by skill or ability in public speaking or formal speech.
-
D.
requiresOralInterpretation
Indicates that one entity needs spoken language interpretation services to understand or communicate information from another entity.
-
E.
earlierOralMaterialFrom
Indicates that the subject is derived from or based on earlier oral material provided by the object.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc6735481908b59bbf80fb3469b |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.