Triple
T12962455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanzón Gallery |
E321177
|
entity |
| Predicate | positionOfLanzón |
P107717
|
FINISHED |
| Object | central shaft of the gallery |
—
|
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 shaft of the gallery | Statement: [Lanzón Gallery, positionOfLanzón, central shaft of the gallery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfLanzón Context triple: [Lanzón Gallery, positionOfLanzón, central shaft of the gallery]
-
A.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
-
B.
positionInLent
Indicates the specific point or stage an event, day, or period occupies within the overall timeline of Lent.
-
C.
hasRelativePositionToLicancabur
Indicates that one entity has a specific spatial or geographic position defined in relation to Licancabur.
-
D.
positionOfEmblem
Indicates the spatial placement or location of an emblem relative to a reference object or surface.
-
E.
iconographicPosition
Indicates the relative placement or arrangement of elements within an image or visual composition, specifying where something appears in the iconographic layout.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:17 p.m.