Triple
T27697289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundareswarar |
E698331
|
entity |
| Predicate | templeRole |
P80423
|
FINISHED |
| Object | co-presiding deity with Meenakshi at Meenakshi Amman Temple |
—
|
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: co-presiding deity with Meenakshi at Meenakshi Amman Temple | Statement: [Sundareswarar, templeRole, co-presiding deity with Meenakshi at Meenakshi Amman Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeRole Context triple: [Sundareswarar, templeRole, co-presiding deity with Meenakshi at Meenakshi Amman Temple]
-
A.
roleAtTemple
chosen
Indicates that an entity holds or performs a specific role, function, or position at a particular temple.
-
B.
templeState
Indicates that a temple is in a particular condition, status, or phase (such as operational, under construction, abandoned, or ceremonial).
-
C.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
D.
hasTempleDistrictRole
Indicates that an entity holds a specific role or function within a temple district.
-
E.
templeAccess
Indicates that an entity has permission or the ability to enter or use a particular temple or temple-related area.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 2:55 p.m.