Triple
T6141195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisville City FC |
E136964
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | LouCity |
E570866
|
NE 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: LouCity | Statement: [Louisville City FC, nickname, LouCity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LouCity Context triple: [Louisville City FC, nickname, LouCity]
-
A.
LouCity
chosen
LouCity is the commonly used nickname for Louisville City FC, a professional soccer club based in Louisville, Kentucky.
-
B.
Miami FC
Miami FC is a professional soccer club based in Miami, Florida, known for competing in various U.S. lower-division leagues and cup competitions.
-
C.
Inter Miami CF
Inter Miami CF is a professional Major League Soccer club based in the Miami metropolitan area and co-owned by former footballer David Beckham.
-
D.
Doral
Doral is a discount cigarette brand produced by R.J. Reynolds Tobacco Company, known for its value-oriented positioning in the U.S. tobacco market.
-
E.
Orlando City SC
Orlando City SC is a professional soccer club based in Orlando, Florida, competing in Major League Soccer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb2404c8190bbbfa78d5f49389f |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14173d2288190920b719e221a929c |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:16 p.m.