Triple
T13381979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmed bin Ali Stadium |
E319339
|
entity |
| Predicate | capacityDuringWorldCup |
P102103
|
FINISHED |
| Object | about 45000 |
—
|
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: about 45000 | Statement: [Ahmed bin Ali Stadium, capacityDuringWorldCup, about 45000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityDuringWorldCup Context triple: [Ahmed bin Ali Stadium, capacityDuringWorldCup, about 45000]
-
A.
capacityForWorldCup
chosen
Indicates the maximum number of spectators a venue can accommodate specifically for World Cup events.
-
B.
capacityInternationalMatches
Indicates the maximum number of international matches that can be held or accommodated.
-
C.
capacityDuringOlympics
Indicates the seating or usage capacity of a venue, facility, or service specifically during the Olympic Games period.
-
D.
capacityRankInWorld
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
E.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.