Triple
T6797724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Light |
E156098
|
entity |
| Predicate | lightType |
P73043
|
FINISHED |
| Object | high-intensity searchlight |
—
|
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: high-intensity searchlight | Statement: [Leigh Light, lightType, high-intensity searchlight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightType Context triple: [Leigh Light, lightType, high-intensity searchlight]
-
A.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
B.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
C.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
D.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
E.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
- F. None of above. chosen
Provenance (4 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ca0c288190a990180fb7cfd08f |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d2a8f9188190abbb8c730e7b5edf |
completed | March 27, 2026, 6:55 p.m. |
Created at: March 27, 2026, 2:15 p.m.