Triple

T1199616
Position Surface form Disambiguated ID Type / Status
Subject Remote Oceanic languages E25748 entity
Predicate areUsedIn P25490 FINISHED
Object oral tradition 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: oral tradition | Statement: [Remote Oceanic languages, areUsedIn, oral tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areUsedIn
Context triple: [Remote Oceanic languages, areUsedIn, oral tradition]
  • A. areUsedBy
    Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
  • B. alsoUsedIn
    Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
  • C. isUsedAs
    Indicates that one entity serves a particular function, role, or purpose as another entity.
  • D. widelyUsedIn
    Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
  • E. isUsedUnder
    Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
  • F. None of above. chosen

Provenance (4 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9d56748190a12fe4a30346f1d8 completed March 1, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69a4bb5ed2b88190aab992913957e1cf completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bcc82e38819081c3615e1cc7a66f completed March 1, 2026, 10:25 p.m.
Created at: March 1, 2026, 7:46 p.m.