Triple
T38547503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matabari Temple |
E925006
|
entity |
| Predicate | devoteeLanguageGroups |
P136332
|
FINISHED |
| Object | Bengali-speaking devotees |
—
|
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: Bengali-speaking devotees | Statement: [Matabari Temple, devoteeLanguageGroups, Bengali-speaking devotees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devoteeLanguageGroups Context triple: [Matabari Temple, devoteeLanguageGroups, Bengali-speaking devotees]
-
A.
languageOfDevotees
chosen
Indicates the language commonly used or spoken by a group of devotees in their religious or devotional practices.
-
B.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
C.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
-
D.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
-
E.
ethnicGroupLanguageOf
Indicates that a particular language is spoken by, associated with, or characteristic of a given ethnic group.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.