Triple
T10161695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quileute people |
E233905
|
entity |
| Predicate | usesWatercraft |
P57914
|
FINISHED |
| Object | cedar dugout canoes |
—
|
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: cedar dugout canoes | Statement: [Quileute people, usesWatercraft, cedar dugout canoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWatercraft Context triple: [Quileute people, usesWatercraft, cedar dugout canoes]
-
A.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
-
B.
usesCanoes
chosen
Indicates that one entity makes use of canoes as a means of transport, activity, or operation in relation to another entity or context.
-
C.
boatingAllowed
Indicates that operating or using boats is permitted in the specified area or context.
-
D.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
E.
tookOnWater
Indicates that an entity began to fill or absorb water, typically in an unintended or problematic way (e.g., a vessel leaking or flooding).
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec59b01081908be6ca37dc575465 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.