Triple
T20292984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America First Field |
E510071
|
entity |
| Predicate | primaryTenantSport |
P31372
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [America First Field, primaryTenantSport, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTenantSport Context triple: [America First Field, primaryTenantSport, association football]
-
A.
tenantSport
chosen
Indicates that a tenant participates in or is associated with a particular sport.
-
B.
primarySportsProperty
Indicates that the relationship identifies the main or most significant sports-related attribute or characteristic associated with an entity.
-
C.
primaryArenaSport
Indicates the main sport that is primarily played or hosted in a given arena.
-
D.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
E.
primarySportsAsset
Indicates that one entity serves as the main or most important sports-related asset associated with another entity.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677024de08190bfa54ae26b5486d1 |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:12 a.m.