Triple
T26646072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmon Killebrew |
E668910
|
entity |
| Predicate | teamCityAssociation |
P24465
|
FINISHED |
| Object | Minneapolis–Saint Paul |
—
|
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: Minneapolis–Saint Paul | Statement: [Harmon Killebrew, teamCityAssociation, Minneapolis–Saint Paul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCityAssociation Context triple: [Harmon Killebrew, teamCityAssociation, Minneapolis–Saint Paul]
-
A.
teamCity
Indicates that a particular city serves as the home base or associated location for a given team.
-
B.
teamCityCoached
Indicates that a particular coach is responsible for coaching a specific sports team based in a given city.
-
C.
cityAssociatedWith
chosen
Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
-
D.
associatedWithCitySports
Indicates a relationship where an entity has a connection or involvement with city-level sports activities, organizations, or events.
-
E.
teamCityOfFranchiseOwned
Indicates that a particular city serves as the home or base city for a sports franchise that is owned by a specified owner.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 2:31 a.m.