Triple
T6790813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursinae |
E155924
|
entity |
| Predicate | includesMostOf |
P9506
|
FINISHED |
| Object | living bear species |
—
|
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: living bear species | Statement: [Ursinae, includesMostOf, living bear species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMostOf Context triple: [Ursinae, includesMostOf, living bear species]
-
A.
containsMostOf
chosen
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
E.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.