Triple
T11504853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | downtown Fresno |
E272755
|
entity |
| Predicate | primarySportAtChukchansiPark |
P27143
|
FINISHED |
| Object | baseball |
—
|
LITERAL FINISHED |
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: baseball | Statement: [downtown Fresno, primarySportAtChukchansiPark, baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySportAtChukchansiPark Context triple: [downtown Fresno, primarySportAtChukchansiPark, baseball]
-
A.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
B.
primarySports
Indicates that a particular sport is the main or most important sport associated with an entity (such as a person, team, or organization).
-
C.
primaryArenaSport
Indicates the main sport that is primarily played or hosted in a given arena.
-
D.
countrySportAssociation
Indicates a relationship where a country is associated with, participates in, or is represented in a particular sport or sporting activity.
-
E.
servesSport
chosen
Indicates that one entity provides or is used for playing, supporting, or accommodating a particular sport.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.