Triple
T28419507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Pan American Games |
E719900
|
entity |
| Predicate | mainAthletesVillageLocation |
P12832
|
FINISHED |
| Object | Toronto |
—
|
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: Toronto | Statement: [2015 Pan American Games, mainAthletesVillageLocation, Toronto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAthletesVillageLocation Context triple: [2015 Pan American Games, mainAthletesVillageLocation, Toronto]
-
A.
athletesVillage
chosen
Indicates the location or association of athletes with a designated residential village, typically used for housing them during an event or competition.
-
B.
locationOfSport
Indicates the place where a particular sport is played, practiced, or held.
-
C.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
-
D.
OlympicVenue
Indicates that a location serves or has served as a site where official Olympic Games events are held.
-
E.
locationOfCompetition
Indicates the place or venue where a competition or contest takes or took 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 1:32 a.m.