Triple
T37913755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolita village |
E945753
|
entity |
| Predicate | religiousPilgrimageType |
P193654
|
FINISHED |
| Object | Buddhist pilgrimage interest |
—
|
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: Buddhist pilgrimage interest | Statement: [Kolita village, religiousPilgrimageType, Buddhist pilgrimage interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousPilgrimageType Context triple: [Kolita village, religiousPilgrimageType, Buddhist pilgrimage interest]
-
A.
religiousTravelType
chosen
Indicates the specific kind or category of travel undertaken for religious or spiritual purposes.
-
B.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
C.
pilgrimagePractice
Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
-
D.
isPlaceOfPilgrimageFor
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
-
E.
pilgrimageStartingPoint
Indicates the location from which a pilgrimage journey is initiated or begins.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a003f6083608190a5deadc7291cf70e |
completed | May 10, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_6a003c935c40819085fdb255a52ba03b |
completed | May 10, 2026, 8:06 a.m. |
Created at: May 3, 2026, 4:20 p.m.