Triple
T9691599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Grotto |
E234548
|
entity |
| Predicate | lightEffect |
P69537
|
FINISHED |
| Object | blue refraction of sunlight through seawater |
—
|
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: blue refraction of sunlight through seawater | Statement: [Blue Grotto, lightEffect, blue refraction of sunlight through seawater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightEffect Context triple: [Blue Grotto, lightEffect, blue refraction of sunlight through seawater]
-
A.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
B.
hasLightingEffect
chosen
Indicates that one entity applies, produces, or is associated with a particular lighting effect on another entity or environment.
-
C.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
D.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
E.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.