Triple
T27496855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess Meenakshi |
E694039
|
entity |
| Predicate | primaryScriptureContext |
P6572
|
FINISHED |
| Object | Tamil Shaiva literature |
—
|
NE NERFINISHED |
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: Tamil Shaiva literature | Statement: [Goddess Meenakshi, primaryScriptureContext, Tamil Shaiva literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScriptureContext Context triple: [Goddess Meenakshi, primaryScriptureContext, Tamil Shaiva literature]
-
A.
scriptureContext
chosen
Indicates that one entity provides the textual, historical, or thematic scriptural background or setting necessary to interpret or understand another entity.
-
B.
scripturalSetting
Indicates the contextual or narrative situation in which a scriptural passage or event takes place.
-
C.
scripturalLanguageContext
Indicates the linguistic or textual context in which a scriptural passage, term, or reference is expressed or interpreted.
-
D.
regionInScripturalContext
Indicates that a geographic region is referenced or holds significance within a particular scriptural or religious text context.
-
E.
positionInScripture
Indicates the specific location or ordering of a passage, verse, or element within a scriptural text.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
Created at: April 27, 2026, 1:09 p.m.