Triple
T33351867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Luján |
E853963
|
entity |
| Predicate | imageKeptAt |
P176532
|
FINISHED |
| Object | Basilica of Our Lady of Luján |
—
|
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: Basilica of Our Lady of Luján | Statement: [Our Lady of Luján, imageKeptAt, Basilica of Our Lady of Luján]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageKeptAt Context triple: [Our Lady of Luján, imageKeptAt, Basilica of Our Lady of Luján]
-
A.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
B.
imageFile
Indicates that an entity is associated with, stored as, or represented by a particular image file.
-
C.
imageArchive
Indicates a relationship where one entity serves as a stored collection or repository of images associated with another entity.
-
D.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
E.
imageOrigin
Indicates the original source or provenance from which an image was created, captured, or obtained.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.