Triple
T405418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankaty Head Light |
E9372
|
entity |
| Predicate | originalLensType |
P7239
|
FINISHED |
| Object | Fresnel lens |
—
|
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: Fresnel lens | Statement: [Sankaty Head Light, originalLensType, Fresnel lens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLensType Context triple: [Sankaty Head Light, originalLensType, Fresnel lens]
-
A.
usesOpticsType
chosen
Indicates that one entity employs or is characterized by a specific type of optical system or technology.
-
B.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
-
C.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
D.
telescopeUsed
Indicates that a particular telescope was employed or utilized to perform an observation or related activity.
-
E.
usesCanon
Indicates that one entity employs or relies on another entity as its standard, reference, or authoritative source.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.