Triple
T22497233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Our Lady of Suyapa |
E556171
|
entity |
| Predicate | hasProcessionsFrom |
P90234
|
FINISHED |
| Object | parishes across Honduras |
—
|
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: parishes across Honduras | Statement: [Feast of Our Lady of Suyapa, hasProcessionsFrom, parishes across Honduras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProcessionsFrom Context triple: [Feast of Our Lady of Suyapa, hasProcessionsFrom, parishes across Honduras]
-
A.
organizesProcessions
Indicates that an entity is responsible for planning, coordinating, and managing the execution of processions or parades.
-
B.
locationOfProcessions
chosen
Indicates the place where processions occur or are held.
-
C.
mainProcessionDay
Indicates the specific day on which the primary or central procession of an event or celebration takes place.
-
D.
mainProcessionType
Indicates the primary category or kind of procession associated with an event or context.
-
E.
hasProcessionalImages
Indicates that one entity includes or is associated with images used in a procession or ceremonial march in relation to 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb31b8081909553fa860a07e746 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.