Triple
T22688859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Stadium, Karachi |
E560993
|
entity |
| Predicate | odiVenue |
P144658
|
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, odiVenue, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odiVenue Context triple: [National Stadium, Karachi, odiVenue, yes]
-
A.
internationalVenueFor
chosen
Indicates that a location serves as a host or site for events, activities, or functions involving participants or audiences from multiple countries.
-
B.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
C.
rotatingVenue
Indicates that an event or activity takes place at different venues over time, rather than being fixed to a single location.
-
D.
earlyVenue
Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
-
E.
connectsToEventVenue
Indicates that one entity serves as a link or route providing access or connection to an event venue.
- 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.