Triple
T7795799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurai Meenakshi Amman Temple |
E180294
|
entity |
| Predicate | sacredTankMeaning |
P46222
|
FINISHED |
| Object | Golden Lotus Tank |
—
|
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: Golden Lotus Tank | Statement: [Madurai Meenakshi Amman Temple, sacredTankMeaning, Golden Lotus Tank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredTankMeaning Context triple: [Madurai Meenakshi Amman Temple, sacredTankMeaning, Golden Lotus Tank]
-
A.
sacredTankName
chosen
Indicates that an entity has a name identifying it as a sacred or holy water tank or reservoir.
-
B.
sacredTo
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
C.
sacredStatus
Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
-
D.
sacredTree
Indicates that an entity is regarded as a sacred or holy tree within a religious, spiritual, or cultural context.
-
E.
hasTempleTank
Indicates that a temple includes or is associated with a specific water tank or reservoir used for religious or ritual purposes.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:31 p.m.