Triple
T19373396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colville people |
E484601
|
entity |
| Predicate | usesTraditionalTechnology |
P124889
|
FINISHED |
| Object | 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: dugout canoes | Statement: [Colville people, usesTraditionalTechnology, dugout canoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTraditionalTechnology Context triple: [Colville people, usesTraditionalTechnology, dugout canoes]
-
A.
hasTraditionalTechnology
chosen
Indicates that an entity possesses, uses, or is associated with technology rooted in longstanding, customary, or indigenous practices rather than modern or industrial methods.
-
B.
laterUsedTechnology
Indicates that one entity adopted or employed a technology after another entity had already used it.
-
C.
formerTechnology
Indicates that an entity previously used or was associated with a particular technology but no longer is.
-
D.
hasTraditionalFeatures
Indicates that something possesses characteristics or attributes commonly associated with established traditions or customary practices.
-
E.
isTraditional
Indicates that something adheres to long-established customs, practices, or norms rather than modern or innovative ones.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61a59f8cc8190b314cba95c25f2a0 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.