Triple
T27555506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Point Comfort Lighthouse |
E695623
|
entity |
| Predicate | laterIllumination |
P140949
|
FINISHED |
| Object | Fresnel lens |
—
|
NE NERFINISHED |
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: [Old Point Comfort Lighthouse, laterIllumination, Fresnel lens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterIllumination Context triple: [Old Point Comfort Lighthouse, laterIllumination, Fresnel lens]
-
A.
laterLighting
Indicates that one lighting event or condition occurs after another in time.
-
B.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
C.
laterLightingType
chosen
Indicates that one lighting type occurs or is applied after another in time.
-
D.
usedToIlluminate
Indicates that one entity served as a source of light for another entity or environment.
-
E.
originalIllumination
Indicates that an entity provides the initial or primary source of light or illumination for another entity or context.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 1:36 p.m.