Triple
T18914321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chono people |
E462685
|
entity |
| Predicate | mainTransport |
P46040
|
FINISHED |
| Object | canoe |
—
|
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: canoe | Statement: [Chono people, mainTransport, canoe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTransport Context triple: [Chono people, mainTransport, canoe]
-
A.
primaryTransports
Indicates that one entity serves as the main means or method of transporting or conveying another entity.
-
B.
primaryTransport
chosen
Indicates that one entity serves as the main or most commonly used means of transportation for another entity.
-
C.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
D.
primaryTransportModel
Indicates that one transport model is designated as the main or default model used for a given context or entity.
-
E.
previousTransport
Indicates that one entity served as the immediately preceding mode or instance of transport for another entity in a sequence of movements or journeys.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c625b4fc8190a9dda6e76afa573e |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.