Triple
T24806847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnson solids |
E620677
|
entity |
| Predicate | J5 |
P153481
|
FINISHED |
| Object | pentagonal cupola |
—
|
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: pentagonal cupola | Statement: [Johnson solids, J5, pentagonal cupola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: J5 Context triple: [Johnson solids, J5, pentagonal cupola]
-
A.
B_5
Indicates a relationship where one entity is associated with or classified under a specific category, group, or type represented by the other entity.
-
B.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
C.
juz
Indicates a judgment or evaluation made about one entity in relation to another.
-
D.
B9
Indicates a generic or unspecified relationship between entities labeled under code B9, whose specific nature is not defined by this predicate alone.
-
E.
B5
chosen
Indicates a relationship where one entity is associated with or classified under a specific category, type, or grouping represented by the other 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.