Triple
T20447019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arara people |
E501542
|
entity |
| Predicate | residesAlong |
P128189
|
FINISHED |
| Object | tributaries of the Xingu River |
—
|
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: tributaries of the Xingu River | Statement: [Arara people, residesAlong, tributaries of the Xingu River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residesAlong Context triple: [Arara people, residesAlong, tributaries of the Xingu River]
-
A.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
B.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
C.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
D.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
E.
hasResidenceOn
chosen
Indicates that one entity’s place of residence is located on or along another entity, such as a street, road, or other linear feature.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfe57a8819094bd3d324bd567f5 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.