Triple
T6195277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Shivaratri |
E138493
|
entity |
| Predicate | observancePlace |
P54305
|
FINISHED |
| Object | temples |
—
|
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: temples | Statement: [Maha Shivaratri, observancePlace, temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observancePlace Context triple: [Maha Shivaratri, observancePlace, temples]
-
A.
placeOfConsecration
Indicates the specific place where a religious or ceremonial consecration of something or someone took place.
-
B.
locationOfObservance
chosen
Indicates the place where an event, ceremony, or observance occurs or is carried out.
-
C.
observance
Indicates the performance or maintenance of a practice, rule, or custom in accordance with prescribed or expected standards.
-
D.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
-
E.
observanceVariesBy
Indicates that the way in which something is observed, practiced, or kept differs depending on a specified factor such as group, place, or time.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0624571508190bd273b4a051fbe41 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.