Triple
T22688858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Stadium, Karachi |
E560993
|
entity |
| Predicate | testVenue |
P65047
|
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: [National Stadium, Karachi, testVenue, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testVenue Context triple: [National Stadium, Karachi, testVenue, yes]
-
A.
testDebutVenue
Indicates the venue or location where an entity (such as a person, product, or performance) made its first test appearance or trial debut.
-
B.
startVenue
Indicates the venue or location where an event, journey, or activity begins.
-
C.
featuresVenue
Indicates that one entity includes, hosts, or is associated with a particular venue as part of its offering or context.
-
D.
isRegularVenueFor
chosen
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
E.
isVenueWithin
Indicates that one venue is geographically located inside the boundaries or area of another place or region.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.