Triple
T29210877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | மாதவி |
E740542
|
entity |
| Predicate | religiousTurn |
P45
|
FINISHED |
| Object | சமண மார்க்கம் |
—
|
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: சமண மார்க்கம் | Statement: [மாதவி, religiousTurn, சமண மார்க்கம்]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTurn Context triple: [மாதவி, religiousTurn, சமண மார்க்கம்]
-
A.
religiousAffiliation
chosen
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
C.
religiousCounterpart
Indicates that one entity serves as the religious equivalent or analogue of another entity within a different belief system or tradition.
-
D.
religiousDemographyChange
Indicates a change over time in the religious composition or affiliation distribution within a population or region.
-
E.
religiousTarget
Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 28, 2026, 12:11 p.m.