Triple
T18024590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chau Say Tevoda |
E431211
|
entity |
| Predicate | hasDevata |
P129500
|
FINISHED |
| Object | female guardian figures |
—
|
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: female guardian figures | Statement: [Chau Say Tevoda, hasDevata, female guardian figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevata Context triple: [Chau Say Tevoda, hasDevata, female guardian figures]
-
A.
hasNinthTerm
Indicates that an ordered sequence or series possesses a defined ninth term.
-
B.
hasMatha
Indicates a relationship where one entity possesses, is associated with, or is characterized by a specific matha (monastic institution or religious seat).
-
C.
hasFourthVarna
Indicates that an entity belongs to, or is associated with, the fourth varna (social class) in a traditional varna system.
-
D.
hasNumberOfDivyaDesams
Indicates the specific count of Divya Desams associated with a given entity.
-
E.
hasRatha
Indicates that one entity possesses, includes, or is associated with a chariot (ratha) as part of its attributes or composition.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c554348190bd0df06d0cfe188e |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.