Triple
T14882621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upanayana ceremony |
E350036
|
entity |
| Predicate | hasContemporaryDebate |
P15176
|
FINISHED |
| Object | inclusion of girls in the ceremony |
—
|
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: inclusion of girls in the ceremony | Statement: [Upanayana ceremony, hasContemporaryDebate, inclusion of girls in the ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContemporaryDebate Context triple: [Upanayana ceremony, hasContemporaryDebate, inclusion of girls in the ceremony]
-
A.
hasLongTermDebateOn
chosen
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
B.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
-
C.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
-
D.
hasNotableDebates
Indicates that there have been significant or widely recognized debates or controversies involving the related entities.
-
E.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:56 a.m.