Triple
T3961391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra Cricket Association Stadium |
E85910
|
entity |
| Predicate | hasPavilionEnd |
P12264
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Maharashtra Cricket Association Stadium, hasPavilionEnd, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavilionEnd Context triple: [Maharashtra Cricket Association Stadium, hasPavilionEnd, yes]
-
A.
hasPavilion
chosen
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
B.
numberOfPavilions
Indicates the total count of pavilions associated with a given entity or context.
-
C.
hasFoyer
Indicates that an entity includes or is equipped with a foyer as part of its structure or layout.
-
D.
hasPier
Indicates that a location or structure possesses or includes a pier as part of its features.
-
E.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.