Triple
T10558667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Neza 86 |
E249154
|
entity |
| Predicate | hostedWorldCupYear |
P40877
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Estadio Neza 86, hostedWorldCupYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedWorldCupYear Context triple: [Estadio Neza 86, hostedWorldCupYear, 1986]
-
A.
worldCupHostYear
chosen
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
B.
worldCupHost
Indicates that one entity serves as the host country or location for a particular FIFA World Cup tournament.
-
C.
hostedFIFAClubWorldCupParticipationYear
Indicates the year in which an entity served as host for a FIFA Club World Cup tournament in which a given club participated.
-
D.
ConfederationsCupHostCity
Indicates that a city served as a host location for matches of the FIFA Confederations Cup tournament.
-
E.
worldCupAppearanceYear
Indicates the specific year in which an entity participated in a FIFA World Cup tournament.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.