Triple
T11439178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunga people |
E271095
|
entity |
| Predicate | hasLinguisticTraditions |
P11719
|
FINISHED |
| Object | distinct linguistic traditions |
—
|
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: distinct linguistic traditions | Statement: [Nunga people, hasLinguisticTraditions, distinct linguistic traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticTraditions Context triple: [Nunga people, hasLinguisticTraditions, distinct linguistic traditions]
-
A.
hasLinguisticHeritage
chosen
Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
-
B.
hasSecondaryLanguageTradition
Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
-
C.
hasAncientLiteraryTradition
Indicates that an entity possesses a long-established, historically significant body of written literature originating in ancient times.
-
D.
hasRichOralTradition
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.
-
E.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.