Triple
T9262489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Stack Lighthouse |
E222611
|
entity |
| Predicate | previousLensType |
P55795
|
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: [South Stack Lighthouse, previousLensType, Fresnel lens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousLensType Context triple: [South Stack Lighthouse, previousLensType, Fresnel lens]
-
A.
laterLensType
Indicates that one lens type occurs or is used at a later time than another lens type in a temporal sequence.
-
B.
lensType
chosen
Indicates the specific kind or category of lens associated with or used by an entity.
-
C.
originalLens
Indicates that one lens is the initial or source lens from which another lens or lens configuration is derived or referenced.
-
D.
usesLensBrand
Indicates that one entity employs or operates using a lens produced by a specific brand.
-
E.
cameraLensType
Indicates the specific type or category of lens used or associated with a camera.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07189bc48190987315bd5d3ce4f1 |
completed | April 1, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.