Triple
T3382302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boasian linguistics |
E71213
|
entity |
| Predicate | viewsLanguageAs |
P46110
|
FINISHED |
| Object | integral part of culture |
—
|
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: integral part of culture | Statement: [Boasian linguistics, viewsLanguageAs, integral part of culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsLanguageAs Context triple: [Boasian linguistics, viewsLanguageAs, integral part of culture]
-
A.
languageView
chosen
Indicates a relationship where one entity views, interprets, or presents another entity through the lens of a particular language or linguistic perspective.
-
B.
viewsAliAs
Indicates that one entity holds a particular perception, opinion, or characterization of Ali.
-
C.
viewsClientAs
Indicates that one entity regards or treats another entity as a client within a service, business, or professional relationship.
-
D.
viewsOnBabelFish
Indicates that one entity holds a particular opinion, perspective, or stance regarding the concept, product, or idea referred to as "BabelFish."
-
E.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.