Triple
T2772453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andacollo |
E61487
|
entity |
| Predicate | religiousEventFrequency |
P36513
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Andacollo, religiousEventFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousEventFrequency Context triple: [Andacollo, religiousEventFrequency, annual]
-
A.
religiousEvent
Indicates that an event is related to religious practices, observances, or ceremonies.
-
B.
pilgrimageFrequency
chosen
Indicates how often an entity undertakes or participates in a pilgrimage.
-
C.
religiousActivity
Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
-
D.
religiousEventYear
Indicates the calendar year in which a specified religious event took place or is scheduled to occur.
-
E.
religiousGroupsPresent
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.