Triple
T16991814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fifty-Nine Icosahedra |
E412210
|
entity |
| Predicate | hasMainObjectOfStudy |
P36625
|
FINISHED |
| Object | regular icosahedron |
—
|
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: regular icosahedron | Statement: [The Fifty-Nine Icosahedra, hasMainObjectOfStudy, regular icosahedron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainObjectOfStudy Context triple: [The Fifty-Nine Icosahedra, hasMainObjectOfStudy, regular icosahedron]
-
A.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
B.
notableObjectOfStudy
Indicates that a subject is a significant or prominent focus of research, analysis, or scholarly attention for another entity.
-
C.
hasSubjectOfStudy
chosen
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
D.
hasMainSubjectKey
Indicates that an entity is associated with a primary or principal subject identifier used as its main reference or key.
-
E.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.