Triple
T31218531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheetah robot |
E795936
|
entity |
| Predicate | hasMaterialization |
P1845
|
FINISHED |
| Object | metal frame |
—
|
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: metal frame | Statement: [Cheetah robot, hasMaterialization, metal frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialization Context triple: [Cheetah robot, hasMaterialization, metal frame]
-
A.
hasMaterialAspect
Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
-
B.
hasMaterialImport
Indicates that one entity has another entity as a significant or primary material used in its composition or production.
-
C.
hasMaterialFormOnSet
Indicates that something possesses a tangible, physical form or embodiment during the production or staging of a set.
-
D.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
E.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: April 29, 2026, 9:10 p.m.