Triple
T34504136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Videha |
E885835
|
entity |
| Predicate | associatedReligionOfTitleHolders |
P23795
|
FINISHED |
| Object | Vedic Hinduism |
E470300
|
NE 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: Vedic Hinduism | Statement: [King of Videha, associatedReligionOfTitleHolders, Vedic Hinduism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedReligionOfTitleHolders Context triple: [King of Videha, associatedReligionOfTitleHolders, Vedic Hinduism]
-
A.
titleHolderReligion
chosen
Indicates the religious affiliation associated with the holder of a particular title.
-
B.
religiousTitle
Indicates that one entity holds or is referred to by a specific religious rank, honorific, or clerical title in relation to another entity.
-
C.
associatedReligionRole
Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
-
D.
namedForPersonReligion
Indicates that something is named after a person specifically because of that person's religious identity, role, or significance.
-
E.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
- F. None of above.
Provenance (4 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3729d965088190a2dd9a693b64f226 |
completed | June 21, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:01 a.m.