Triple
T26452894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Rosary of Chiquinquirá |
E665401
|
entity |
| Predicate | primaryPlaceOfVeneration |
P5455
|
FINISHED |
| Object | Chiquinquirá |
—
|
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: Chiquinquirá | Statement: [Our Lady of the Rosary of Chiquinquirá, primaryPlaceOfVeneration, Chiquinquirá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlaceOfVeneration Context triple: [Our Lady of the Rosary of Chiquinquirá, primaryPlaceOfVeneration, Chiquinquirá]
-
A.
veneratedAt
chosen
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
-
B.
veneratedOn
Indicates that an entity is honored, revered, or celebrated on a specific date or occasion.
-
C.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
D.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
-
E.
basisOfVeneration
Indicates the reason, quality, or attribute for which something or someone is regarded with reverence or veneration.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 27, 2026, 12:07 a.m.