Triple
T36373532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amritdhari Sikhs |
E895831
|
entity |
| Predicate | initiationCeremonyLocation |
P128
|
FINISHED |
| Object | in presence of Guru Granth Sahib |
—
|
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: in presence of Guru Granth Sahib | Statement: [Amritdhari Sikhs, initiationCeremonyLocation, in presence of Guru Granth Sahib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiationCeremonyLocation Context triple: [Amritdhari Sikhs, initiationCeremonyLocation, in presence of Guru Granth Sahib]
-
A.
ceremonyLocation
chosen
Indicates the place where a ceremony is held or takes place.
-
B.
ceremonyLocationType
Indicates the type or category of location where a ceremony takes place.
-
C.
ceremonyHeldNear
Indicates that a ceremony takes place at a location that is geographically close to a specified reference place or object.
-
D.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
E.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.