Triple
T7527317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Santuario del Cristo de La Laguna |
E177925
|
entity |
| Predicate | hasImageDate |
P38643
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Real Santuario del Cristo de La Laguna, hasImageDate, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImageDate Context triple: [Real Santuario del Cristo de La Laguna, hasImageDate, 16th century]
-
A.
hasCaptureDate
chosen
Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
-
B.
hasPhotographicRecordSince
Indicates that a photographic record of an entity has existed continuously since a specified point in time.
-
C.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
D.
hasDateWith
Indicates that one entity is scheduled to go on or is engaged in a romantic or social date with another entity.
-
E.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81cc5748190818443c48c9e3114 |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.