Triple
T37151263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosasaurus lagoon (Jurassic World) |
E920367
|
entity |
| Predicate | hasPerspectiveShot |
P8789
|
FINISHED |
| Object | underwater view of Mosasaurus |
—
|
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: underwater view of Mosasaurus | Statement: [Mosasaurus lagoon (Jurassic World), hasPerspectiveShot, underwater view of Mosasaurus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerspectiveShot Context triple: [Mosasaurus lagoon (Jurassic World), hasPerspectiveShot, underwater view of Mosasaurus]
-
A.
hasPerspectiveEffect
Indicates that one entity visually appears altered in size, shape, or position relative to another due to perspective or viewpoint.
-
B.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
shotIn
Indicates that an event, scene, or media production was filmed or recorded at a particular location.
-
D.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
E.
hasViewingPointFor
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 3, 2026, 4:15 p.m.