Triple
T27088354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antipolo Cathedral |
E686094
|
entity |
| Predicate | imageTitle |
P38
|
FINISHED |
| Object | Nuestra Señora de la Paz y Buen Viaje |
—
|
NE NERFINISHED |
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: Nuestra Señora de la Paz y Buen Viaje | Statement: [Antipolo Cathedral, imageTitle, Nuestra Señora de la Paz y Buen Viaje]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageTitle Context triple: [Antipolo Cathedral, imageTitle, Nuestra Señora de la Paz y Buen Viaje]
-
A.
caption
Indicates that a piece of text serves as a descriptive label or explanation for an associated image, video, or other media content.
-
B.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
C.
titleDescription
Indicates that one entity serves as a descriptive or explanatory subtitle or summary associated with the title of another entity.
-
D.
artworkTitle
Indicates the relationship that specifies the title assigned to an artwork.
-
E.
title
chosen
Indicates that one entity serves as the formal name or designation of 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623480110819088369af135123c24 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 8:39 a.m.