Triple
T30185947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macuxi |
E767334
|
entity |
| Predicate | collectiveLandRightsIssue |
P34249
|
FINISHED |
| Object | Raposa Serra do Sol Indigenous Territory |
—
|
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: Raposa Serra do Sol Indigenous Territory | Statement: [Macuxi, collectiveLandRightsIssue, Raposa Serra do Sol Indigenous Territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectiveLandRightsIssue Context triple: [Macuxi, collectiveLandRightsIssue, Raposa Serra do Sol Indigenous Territory]
-
A.
landRightsMilestone
Indicates a significant event or achievement related to the recognition, transfer, or formalization of rights to use, control, or own land between parties.
-
B.
landTenure
chosen
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
C.
landUseIssues
Indicates conflicts, problems, or concerns arising from how land is used, managed, or designated.
-
D.
seaTenureSystem
Indicates a system governing rights, access, and control over the use and management of marine or sea areas.
-
E.
associatedLandRightsArea
Indicates the area of land for which specific land rights are linked or attributed to the referenced 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 7:27 p.m.