Triple
T12371275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunset Point |
E295005
|
entity |
| Predicate | lightingBestAt |
P60432
|
FINISHED |
| Object | sunrise |
—
|
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: sunrise | Statement: [Sunset Point, lightingBestAt, sunrise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingBestAt Context triple: [Sunset Point, lightingBestAt, sunrise]
-
A.
featuresLightingBy
Indicates that something includes or showcases lighting created, provided, or designed by a specified entity.
-
B.
lightingPractice
Indicates a relationship where an entity engages in or performs activities to rehearse, refine, or experiment with lighting setups or techniques.
-
C.
lightingRequirement
Indicates the level or type of light that is needed for something to function, grow, or be used properly.
-
D.
preferredLight
chosen
Indicates that one entity favors or is best suited to a particular lighting condition or level of illumination.
-
E.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.