Triple
T35417978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Círculo de Bellas Artes |
E1023694
|
entity |
| Predicate | cityPanoramaViewDirection |
P4219
|
FINISHED |
| Object | 360 degrees |
—
|
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: 360 degrees | Statement: [Círculo de Bellas Artes, cityPanoramaViewDirection, 360 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityPanoramaViewDirection Context triple: [Círculo de Bellas Artes, cityPanoramaViewDirection, 360 degrees]
-
A.
cityView
Indicates that one entity offers a view of, or overlooks, a city.
-
B.
cityPanorama
chosen
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
-
C.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
D.
locationDirection
Indicates that one entity is located in a specific directional relation (such as north, south, above, or below) relative to another entity.
-
E.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7958792b88190b6fb9bcca13e8008 |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.