Triple
T38463247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Excelsior |
E912501
|
entity |
| Predicate | academyTeamRegion |
P68627
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [New York Excelsior, academyTeamRegion, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyTeamRegion Context triple: [New York Excelsior, academyTeamRegion, North America]
-
A.
regionTeam
Indicates that a team is associated with, operates in, or represents a specific geographic region.
-
B.
eligibleTeamsRegion
Indicates that certain teams qualify to participate or be considered within a specified geographic region.
-
C.
teamRegion
chosen
Indicates that a team is associated with, based in, or represents a particular geographic region.
-
D.
zonalTeamOf
Indicates that one entity is a team that belongs to, represents, or operates within a specific geographic or administrative zone of another entity.
-
E.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.