Triple
T185507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huygens–Fresnel principle |
E3970
|
entity |
| Predicate | validWhen |
P1255
|
FINISHED |
| Object | wavelength is comparable to aperture size |
—
|
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: wavelength is comparable to aperture size | Statement: [Huygens–Fresnel principle, validWhen, wavelength is comparable to aperture size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validWhen Context triple: [Huygens–Fresnel principle, validWhen, wavelength is comparable to aperture size]
-
A.
hasCondition
chosen
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
C.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
D.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
E.
ensures
Indicates that one entity guarantees or makes certain that a particular condition, outcome, or state holds for another entity or situation.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.