Triple
T36299888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Mahankali Temple, Lal Darwaza, Hyderabad |
E893476
|
entity |
| Predicate | devotionalOfferings |
P98895
|
FINISHED |
| Object | coconuts |
—
|
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: coconuts | Statement: [Sri Mahankali Temple, Lal Darwaza, Hyderabad, devotionalOfferings, coconuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devotionalOfferings Context triple: [Sri Mahankali Temple, Lal Darwaza, Hyderabad, devotionalOfferings, coconuts]
-
A.
hasVotiveOfferings
chosen
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
B.
devotionalCollection
Indicates that one entity is a curated set or compilation of devotional items, works, or practices associated with another entity.
-
C.
worshipersOffer
Indicates that worshipers present or dedicate offerings to a deity, sacred figure, or religious object.
-
D.
devotionalObject
Indicates that one entity is used by or associated with another as an object of religious or spiritual devotion.
-
E.
devotionalElement
Indicates a relationship where something serves as or functions as an element used in devotional or religious practice.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.