Triple
T4412720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meydan Racecourse |
E94887
|
entity |
| Predicate | inauguralDubaiWorldCupAtVenue |
P55483
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Meydan Racecourse, inauguralDubaiWorldCupAtVenue, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralDubaiWorldCupAtVenue Context triple: [Meydan Racecourse, inauguralDubaiWorldCupAtVenue, 2010]
-
A.
inauguralHostCity
Indicates the city that first hosted a particular event, competition, or series.
-
B.
wasFirstWorldCupWith
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
-
C.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
D.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
E.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
- F. None of above. chosen
Provenance (4 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:29 p.m.