Triple
T37326692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarangapani |
E926622
|
entity |
| Predicate | placeOfWorshipCountry |
P195709
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Sarangapani, placeOfWorshipCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfWorshipCountry Context triple: [Sarangapani, placeOfWorshipCountry, India]
-
A.
ecclesiasticalCountry
Indicates that a country is associated with or governed by a particular ecclesiastical (church) jurisdiction or authority.
-
B.
countryOfTitularChurch
Indicates the country in which a given titular church is geographically located.
-
C.
countryOfEcclesiasticalPresence
Indicates that an ecclesiastical body, organization, or jurisdiction has an official or recognized presence within a given country.
-
D.
countryOfMainRitual
Indicates the country in which a given ritual is primarily performed or holds its main significance.
-
E.
countryOfVeneration
Indicates the country in which a person, figure, or entity is formally or traditionally venerated or honored.
- F. None of above. chosen
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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: May 3, 2026, 4:16 p.m.