Triple
T38367682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfall Fight |
E892492
|
entity |
| Predicate | featuredInSceneLocation |
P124600
|
FINISHED |
| Object | Wakandan waterfall |
—
|
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: Wakandan waterfall | Statement: [Waterfall Fight, featuredInSceneLocation, Wakandan waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInSceneLocation Context triple: [Waterfall Fight, featuredInSceneLocation, Wakandan waterfall]
-
A.
hasSceneLocation
chosen
Indicates that a scene or event takes place at, or is set in, a specific location.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
D.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
E.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.