Triple
T24797409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Pocitos |
E620423
|
entity |
| Predicate | tournamentVenue |
P39293
|
FINISHED |
| Object | 1930 FIFA World Cup |
—
|
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: 1930 FIFA World Cup | Statement: [Estadio Pocitos, tournamentVenue, 1930 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentVenue Context triple: [Estadio Pocitos, tournamentVenue, 1930 FIFA World Cup]
-
A.
gameVenue
Indicates the location or facility where a game or match is held.
-
B.
sportsVenueFor
chosen
Indicates that a venue is used as the location or facility where a particular sport or sporting event takes place.
-
C.
holdsTournamentsIn
Indicates that an entity organizes or conducts tournaments at or within a specified location.
-
D.
Game1Venue
Indicates the venue or location where the first game (Game1) of a series or event is held.
-
E.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:48 a.m.