Triple
T13706105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilgrim City of Naga |
E328644
|
entity |
| Predicate | timeOfMajorPilgrimageEvents |
P70425
|
FINISHED |
| Object | September |
—
|
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: September | Statement: [Pilgrim City of Naga, timeOfMajorPilgrimageEvents, September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorPilgrimageEvents Context triple: [Pilgrim City of Naga, timeOfMajorPilgrimageEvents, September]
-
A.
historicalPeriodOfPilgrimage
Indicates the historical period during which a given pilgrimage took place or was practiced.
-
B.
pilgrimageDate
chosen
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
C.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
D.
pilgrimageScale
Indicates the extent or magnitude of a pilgrimage-related activity, such as its size, intensity, or level of significance.
-
E.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.