Triple
T27242484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baniva |
E687244
|
entity |
| Predicate | countryStatusInVenezuela |
P157211
|
FINISHED |
| Object | Indigenous language |
—
|
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: Indigenous language | Statement: [Baniva, countryStatusInVenezuela, Indigenous language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInVenezuela Context triple: [Baniva, countryStatusInVenezuela, Indigenous language]
-
A.
statusInVenezuela
chosen
Indicates the legal, social, or official condition or standing that an entity holds within the context of Venezuela.
-
B.
countryStatusInColombia
Indicates the political or legal status that a country holds within or in relation to Colombia.
-
C.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
-
D.
membershipStatusOfVenezuela
Indicates the membership status that Venezuela holds within a specified organization or group.
-
E.
recognizedAsVenezuelanBy
Indicates that one entity is acknowledged or accepted as Venezuelan by another entity.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 27, 2026, 10:38 a.m.