Triple
T35774515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1946 NFL Championship |
E1034253
|
entity |
| Predicate | visitingTeamCity |
P101255
|
FINISHED |
| Object | Chicago |
—
|
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: Chicago | Statement: [1946 NFL Championship, visitingTeamCity, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitingTeamCity Context triple: [1946 NFL Championship, visitingTeamCity, Chicago]
-
A.
visitingTeamFranchise
Indicates that one franchise is the visiting (away) team in a particular game or matchup involving another franchise.
-
B.
awayTeamCity
chosen
Indicates the city that the away (visiting) team is from in a sporting event or competition.
-
C.
hostTeamCity
Indicates the city where the host team is based or where it plays its home events.
-
D.
homeTeamUniversity
Indicates that a specified university serves as the home institution or host team in a given game, match, or sporting event.
-
E.
awayTeam
Indicates that an entity is designated as the visiting or non-home team in a competitive event or match.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1fa657c8190b6973f4d60b28e60 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.