Triple
T7795801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurai Meenakshi Amman Temple |
E180294
|
entity |
| Predicate | AayiramKaalMandapamPillarCountApprox |
P79072
|
FINISHED |
| Object | 1000 |
—
|
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: 1000 | Statement: [Madurai Meenakshi Amman Temple, AayiramKaalMandapamPillarCountApprox, 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AayiramKaalMandapamPillarCountApprox Context triple: [Madurai Meenakshi Amman Temple, AayiramKaalMandapamPillarCountApprox, 1000]
-
A.
hasMandapa
Indicates that a structure (typically a temple) includes or is associated with a mandapa, an attached or nearby pillared hall or pavilion used for rituals or gatherings.
-
B.
prayerHallCapacity
Indicates the maximum number of people that the prayer hall is designed or allowed to accommodate at one time.
-
C.
numberOfHinduCaves
Indicates the quantity of caves that are identified or classified as Hindu caves in relation to a given subject.
-
D.
templeDimensions
Indicates the measured size or proportions of a temple, such as its length, width, height, or overall spatial layout.
-
E.
hasPilgrimageGhatsIn
Indicates that a place possesses or contains pilgrimage ghats located within the specified area or region.
- 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_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. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:31 p.m.