Triple
T8608642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar on a Stick |
E203865
|
entity |
| Predicate | supportsSubjectArea |
P327
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [Sugar on a Stick, supportsSubjectArea, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSubjectArea Context triple: [Sugar on a Stick, supportsSubjectArea, mathematics]
-
A.
supportsTechnologyArea
Indicates that one entity provides backing, resources, or endorsement for a particular technology area associated with another entity.
-
B.
supportsPolicyArea
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
C.
supportsDiscipline
chosen
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
D.
supportsLevelOfStudy
Indicates that one entity provides or is compatible with a specified level of academic or educational study for another entity.
-
E.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.