Triple
T38217189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diamond Lens |
E1010717
|
entity |
| Predicate | usesScienceConcept |
P111607
|
FINISHED |
| Object | optics |
—
|
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: optics | Statement: [The Diamond Lens, usesScienceConcept, optics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScienceConcept Context triple: [The Diamond Lens, usesScienceConcept, optics]
-
A.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
B.
scientificConcept
chosen
Indicates that one entity is a scientific idea, principle, or theory that defines, explains, or characterizes the other entity.
-
C.
usesScientificMetaphor
Indicates that one entity employs scientific concepts or terminology metaphorically to describe or explain another entity or situation.
-
D.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
E.
primaryScienceUse
Indicates that something serves as the main or principal scientific purpose or application of an entity or resource.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:30 p.m.