Triple
T257060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | du Pont Telescope |
E5457
|
entity |
| Predicate | scienceFocus |
P778
|
FINISHED |
| Object | optical astronomy |
—
|
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: optical astronomy | Statement: [du Pont Telescope, scienceFocus, optical astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceFocus Context triple: [du Pont Telescope, scienceFocus, optical astronomy]
-
A.
scienceGoals
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
B.
positionOnScience
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
-
C.
researchArm
Indicates that an entity is a specific study group or treatment arm within a research or clinical trial design.
-
D.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
E.
academicFocus
chosen
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5884c88190a349d7593b688921 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.