Triple
T32489545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama derby |
E830341
|
entity |
| Predicate | hasHomeStadiumCity |
P130903
|
FINISHED |
| Object | Yokohama |
—
|
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: Yokohama | Statement: [Yokohama derby, hasHomeStadiumCity, Yokohama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeStadiumCity Context triple: [Yokohama derby, hasHomeStadiumCity, Yokohama]
-
A.
hasHomeCityStadium
Indicates that a sports team or organization has its primary home stadium located in a specific city.
-
B.
hasHomeCityTeamStadium
Indicates that a sports team’s home city is associated with a specific stadium where the team primarily hosts its home games.
-
C.
hasHomeStadiumContext
Indicates that an entity’s home stadium is specified or characterized within a particular contextual framework (such as time, competition, or role).
-
D.
cityOfHomeStadium
chosen
Indicates the city in which a given home stadium is located.
-
E.
hasHostStadiumTeam
Indicates that a particular team is the primary host or home team for events held at a given stadium.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 1, 2026, 12:59 a.m.