Triple
T34059287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle for the Barrel |
E873445
|
entity |
| Predicate | cityAssociationTeam2 |
P16075
|
FINISHED |
| Object | Louisville, Kentucky |
—
|
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: Louisville, Kentucky | Statement: [Battle for the Barrel, cityAssociationTeam2, Louisville, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityAssociationTeam2 Context triple: [Battle for the Barrel, cityAssociationTeam2, Louisville, Kentucky]
-
A.
cityTeam2
chosen
Indicates that a team is based in, represents, or is associated with a particular city.
-
B.
countyTeam
Indicates a relationship where an entity is a sports team that represents or is associated with a specific county.
-
C.
primaryVenueTeam2
Indicates that the second team is the main or designated home team for a particular venue.
-
D.
stateTeamOf
Indicates that one entity is the official team representing a particular state associated with another entity.
-
E.
stateTeam
Indicates that a team is officially associated with, represents, or belongs to a particular state.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.