Triple
T24806959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnson solids |
E620679
|
entity |
| Predicate | haveRegularButNonIdenticalFaces |
P157352
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Johnson solids, haveRegularButNonIdenticalFaces, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveRegularButNonIdenticalFaces Context triple: [Johnson solids, haveRegularButNonIdenticalFaces, true]
-
A.
haveRegularFaces
Indicates that the entity possesses faces that are all regular polygons, typically congruent and evenly shaped.
-
B.
areNonUniformConvexPolyhedra
chosen
Indicates that the related entities are convex polyhedra whose faces or structural properties are not all identical, making them non-uniform in shape or configuration.
-
C.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
-
D.
areFaceTransitive
Indicates that a face-to-face relationship between entities can be inferred transitively through intermediate face relationships (i.e., if A faces B and B faces C, then A faces C).
-
E.
isFaceTransitive
Indicates that a face-to-face relation between entities is transitive, so if one entity is face-related to a second, and the second is face-related to a third, then the first is also face-related to the third.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:50 a.m.