Triple
T36767852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 U.S. Olympic ice hockey team |
E908391
|
entity |
| Predicate | hostCityOfTournament |
P90517
|
FINISHED |
| Object | Sarajevo, Yugoslavia |
—
|
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: Sarajevo, Yugoslavia | Statement: [1984 U.S. Olympic ice hockey team, hostCityOfTournament, Sarajevo, Yugoslavia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityOfTournament Context triple: [1984 U.S. Olympic ice hockey team, hostCityOfTournament, Sarajevo, Yugoslavia]
-
A.
hostCityOfEvent
chosen
Indicates that a city serves as the location where a particular event is held or takes place.
-
B.
hostCityOfEventParticipatedIn
Indicates that a city is the location where a particular event took place in which an entity participated.
-
C.
lastHostCity
Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
-
D.
hostCityLocatedOn
Indicates that the city serving as a host (e.g., of an event) is geographically situated on or along a specified physical feature or area (such as a river, coast, or region).
-
E.
sponsorCity
Indicates that an entity provides sponsorship or financial support to a particular city.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:12 p.m.