Triple
T2410227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviathan |
E50370
|
entity |
| Predicate | viewerInteraction |
P39278
|
FINISHED |
| Object | visitors walk inside |
—
|
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: visitors walk inside | Statement: [Leviathan, viewerInteraction, visitors walk inside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewerInteraction Context triple: [Leviathan, viewerInteraction, visitors walk inside]
-
A.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
B.
viewOnObject
Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
-
C.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
D.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
-
E.
viewOnObjects
Indicates a relationship where an entity directs its view or visual attention toward one or more objects.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abceaa42b88190a790355100fede3d |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:58 p.m.