Triple
T30025997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 FIFA World Cup qualification |
E762880
|
entity |
| Predicate | finalTournamentHostCityCountry |
P34650
|
FINISHED |
| Object | various cities in United States |
—
|
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: various cities in United States | Statement: [1994 FIFA World Cup qualification, finalTournamentHostCityCountry, various cities in United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalTournamentHostCityCountry Context triple: [1994 FIFA World Cup qualification, finalTournamentHostCityCountry, various cities in United States]
-
A.
finalHostCity
chosen
Indicates the city that ultimately hosts or is selected to host a particular event or competition.
-
B.
countryOfFinalVenue
Indicates the country in which the final event or venue associated with something (e.g., a competition or series) is located.
-
C.
semiFinalHostCountry
Indicates the country that serves as the host location for a semifinal stage of a competition or event.
-
D.
lastHostCity
Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
-
E.
finalMatchCity
Indicates the city where the final match of a competition or tournament takes place.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 29, 2026, 6:48 p.m.