Triple
T10742532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribuna |
E253362
|
entity |
| Predicate | viewPosition |
P17987
|
FINISHED |
| Object | central |
—
|
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: central | Statement: [Tribuna, viewPosition, central]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewPosition Context triple: [Tribuna, viewPosition, central]
-
A.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
B.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
C.
viewOver
chosen
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
D.
viewGeometry
Indicates a relationship where a particular viewpoint or camera setup defines how a scene’s geometry is projected, framed, or visually represented.
-
E.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.