Triple
T36037726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embekke Devalaya |
E1042450
|
entity |
| Predicate | hasNumberOfWoodenPillars |
P198868
|
FINISHED |
| Object | approximately 32 in the Drummers’ Hall |
—
|
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: approximately 32 in the Drummers’ Hall | Statement: [Embekke Devalaya, hasNumberOfWoodenPillars, approximately 32 in the Drummers’ Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWoodenPillars Context triple: [Embekke Devalaya, hasNumberOfWoodenPillars, approximately 32 in the Drummers’ Hall]
-
A.
numberOfEntrancePillars
Indicates the count of entrance pillars associated with or present at a given entity or location.
-
B.
isWoodenStructure
Indicates that the subject is a structure primarily made of wood or constructed using wooden components.
-
C.
AayiramKaalMandapamPillarCountApprox
Indicates an approximate count of the pillars in the Aayiram Kaal Mandapam.
-
D.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
E.
hasRopeSupportStones
Indicates that a rope is used to support, hold, or suspend one or more stones.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
| PDg | Predicate description generation | batch_69ff0e9b7acc81909a0ee66201a06877 |
completed | May 9, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:07 p.m.