Triple
T9770803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manipuri |
E237117
|
entity |
| Predicate | hasReligiousLiterature |
P1184
|
FINISHED |
| Object | Vaishnavite texts |
—
|
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: Vaishnavite texts | Statement: [Manipuri, hasReligiousLiterature, Vaishnavite texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousLiterature Context triple: [Manipuri, hasReligiousLiterature, Vaishnavite texts]
-
A.
isAssociatedWithReligiousText
Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
-
B.
hasSacredText
chosen
Indicates that an entity possesses or is associated with a particular sacred or religious text.
-
C.
hasLiturgicalBook
Indicates that one entity possesses, uses, or is associated with a specific liturgical book in a religious or worship context.
-
D.
usedForReligiousTexts
Indicates that something is used in the creation, preservation, or practice of religious texts or scriptures.
-
E.
hasLiturgicalTexts
Indicates that an entity possesses or is associated with specific liturgical texts used in religious worship or ceremonies.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f329148190a5e531478bc18073 |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.