Triple
T26167945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Sox Park |
E654307
|
entity |
| Predicate | homeFieldBefore |
P98953
|
FINISHED |
| Object | Comiskey Park |
—
|
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: Comiskey Park | Statement: [White Sox Park, homeFieldBefore, Comiskey Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFieldBefore Context triple: [White Sox Park, homeFieldBefore, Comiskey Park]
-
A.
previousHomeFieldUse
chosen
Indicates that one entity was formerly used as the home field or primary venue for another entity before a later change.
-
B.
homeFieldLocation
Indicates the location where an entity’s primary or home field, venue, or playing ground is situated.
-
C.
homeFieldNamedAfter
Indicates that one entity’s home playing field bears the name of another entity.
-
D.
homeFieldReputation
Indicates the perceived advantage, status, or esteem an entity has when operating in its own familiar or primary environment or domain.
-
E.
homeFieldAdvantageBasedOn
Indicates that the degree of home-field advantage is determined or influenced by the specified factor or condition.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c4039548190a47fb89a3a393b70 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:33 p.m.