Triple
T24769489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roraima |
E619680
|
entity |
| Predicate | hasNotableIndigenousPeople |
P160881
|
FINISHED |
| Object | Macuxi people |
—
|
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: Macuxi people | Statement: [Roraima, hasNotableIndigenousPeople, Macuxi people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableIndigenousPeople Context triple: [Roraima, hasNotableIndigenousPeople, Macuxi people]
-
A.
hasNoIndigenousPopulation
Indicates that the referenced place or entity is characterized as having no indigenous population residing within it.
-
B.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
C.
hasNotableNation
Indicates that an entity is significantly associated with or recognized for a particular nation.
-
D.
hasNotableMathematician
Indicates that an entity is associated with or linked to a mathematician who is considered notable or distinguished.
-
E.
hasNotableEthnographyBy
Indicates that an entity is the subject of a notable ethnographic study created by a specified author or researcher.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 18, 2026, 4:29 a.m.