Triple
T12770790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandgaon |
E305241
|
entity |
| Predicate | hasReligiousNarrative |
P24743
|
FINISHED |
| Object | Krishna’s life with Nanda and Yashoda |
—
|
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: Krishna’s life with Nanda and Yashoda | Statement: [Nandgaon, hasReligiousNarrative, Krishna’s life with Nanda and Yashoda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousNarrative Context triple: [Nandgaon, hasReligiousNarrative, Krishna’s life with Nanda and Yashoda]
-
A.
hasReligiousTheme
chosen
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
-
B.
hasReligiousParallel
Indicates that one entity has a counterpart, analogy, or similarity to another entity within a religious context, such as doctrine, narrative, symbol, or practice.
-
C.
hasReligiousCharacter
Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
-
D.
hasReligiousSee
Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
-
E.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.