Triple
T34877242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tikuna language |
E1005911
|
entity |
| Predicate | hasSpeakerPopulationRegion |
P156214
|
FINISHED |
| Object | Amazonas state, Brazil |
—
|
NE NERFINISHED |
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: Amazonas state, Brazil | Statement: [Tikuna language, hasSpeakerPopulationRegion, Amazonas state, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakerPopulationRegion Context triple: [Tikuna language, hasSpeakerPopulationRegion, Amazonas state, Brazil]
-
A.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
B.
isSpokenByPopulationIn
chosen
Indicates that a particular language is used as a spoken means of communication by the people living within a specified geographic region or population group.
-
C.
includesLanguageWithLargeSpeakerPopulation
Indicates that the entity contains or is associated with at least one language that has a large number of speakers.
-
D.
hasApproximateNativeSpeakers
Indicates that an entity is associated with an estimated or approximate number of people who speak it as their native language.
-
E.
isPopulousRegionOf
Indicates that a region has a large population and is located within or associated with a specified larger area or 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4 p.m.