Triple
T19547794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohali |
E489119
|
entity |
| Predicate | cricketStadiumCapacityApprox |
P13599
|
FINISHED |
| Object | 26000 |
—
|
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: 26000 | Statement: [Mohali, cricketStadiumCapacityApprox, 26000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cricketStadiumCapacityApprox Context triple: [Mohali, cricketStadiumCapacityApprox, 26000]
-
A.
cityStadiumCapacity
Indicates the maximum number of spectators that a given city’s stadium can accommodate.
-
B.
cricketGroundUsedBy
Indicates that a particular cricket ground is regularly used by a specified team, club, or organization for playing or practicing cricket.
-
C.
stadiumCapacityApprox
chosen
Indicates an approximate number of people that a stadium can accommodate.
-
D.
stadiumCapacityContext
Indicates the seating capacity of a stadium as it applies within a specific contextual scope (such as time, event, or configuration).
-
E.
oneOfLargestStadiumsByCapacity
Indicates that a stadium is among the largest in a given set or region when ranked by seating capacity.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2d8a6081908e9bb3a6f5d85896 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.