Triple
T30839587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 FIFA World Cup quarter-final match |
E785462
|
entity |
| Predicate | tournamentHostCitiesCountry |
P172942
|
FINISHED |
| Object | Brazil |
—
|
NE NERFINISHED |
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: Brazil | Statement: [2014 FIFA World Cup quarter-final match, tournamentHostCitiesCountry, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentHostCitiesCountry Context triple: [2014 FIFA World Cup quarter-final match, tournamentHostCitiesCountry, Brazil]
-
A.
eventHostCountries
Indicates that the subject countries serve as hosts for a particular event or set of events.
-
B.
tournamentHostCities
Indicates the cities that serve as hosts for a given tournament.
-
C.
olympicHostCountry
Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
-
D.
mainHostCountries
Indicates the countries that primarily host or serve as the main locations for a given entity, event, or activity.
-
E.
notableHostCountries
Indicates that certain countries are recognized as prominent or significant locations for hosting a particular event, activity, or entity.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 29, 2026, 8:45 p.m.