Triple
T22137641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centennial Flame Research Award |
E547073
|
entity |
| Predicate | subjectOfResearch |
P70296
|
FINISHED |
| Object | achievements of persons with disabilities |
—
|
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: achievements of persons with disabilities | Statement: [Centennial Flame Research Award, subjectOfResearch, achievements of persons with disabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfResearch Context triple: [Centennial Flame Research Award, subjectOfResearch, achievements of persons with disabilities]
-
A.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
C.
isSubjectOfStudy
chosen
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
D.
dimensionOfStudy
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
E.
conductedResearchOn
Indicates that an entity has performed or carried out research concerning another entity or topic.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bb78bc8190b74af3a5f6a5348f |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.