Triple
T35134253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table Gun |
E1014524
|
entity |
| Predicate | illuminationDirection |
P182079
|
FINISHED |
| Object | primarily downward through shade |
—
|
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: primarily downward through shade | Statement: [Table Gun, illuminationDirection, primarily downward through shade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illuminationDirection Context triple: [Table Gun, illuminationDirection, primarily downward through shade]
-
A.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
B.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
C.
lightSourcePosition
chosen
Indicates the spatial location from which a light source emits light relative to a given reference frame or scene.
-
D.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
-
E.
lightFirstLit
Indicates that this light is the first one to be turned on or become illuminated in a given sequence 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c6d6b9881909ccd12d8e2e6639e |
completed | May 3, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.