Triple
T6797743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Light |
E156098
|
entity |
| Predicate | illuminationTarget |
P5496
|
FINISHED |
| Object | surfaced submarines |
—
|
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: surfaced submarines | Statement: [Leigh Light, illuminationTarget, surfaced submarines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illuminationTarget Context triple: [Leigh Light, illuminationTarget, surfaced submarines]
-
A.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
B.
roleAtIllumination
Indicates that an entity holds or held a specific role or position at the organization Illumination.
-
C.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
D.
originalIllumination
Indicates that an entity provides the initial or primary source of light or illumination for another entity or context.
-
E.
lightSourceFor
chosen
Indicates that one entity serves as the source of illumination for another 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_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. |
Created at: March 27, 2026, 2:15 p.m.