Triple
T1233677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Fire FC |
E26498
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CHI |
E94372
|
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: CHI | Statement: [Chicago Fire FC, abbreviation, CHI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHI Context triple: [Chicago Fire FC, abbreviation, CHI]
-
A.
CHI
chosen
CHI is the Amtrak station code for Chicago Union Station, the primary intercity rail hub in Chicago, Illinois.
-
B.
Chicago West
Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
-
C.
Chi-Town
Chi-Town is a popular nickname for the city of Chicago, reflecting its identity as a major cultural and economic hub in the United States.
-
D.
Chicago Card
Chicago Card was a contactless smart fare card once used for public transit payments in the Chicago area before being phased out in favor of the Ventra system.
-
E.
Loop (Chicago)
Loop (Chicago) is the central downtown business district of Chicago, known for its dense concentration of offices, theaters, shopping, and its iconic elevated "L" train tracks.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5d16ec819088056167c88d3318 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a16badc8190b5b603db0ca738cb |
completed | March 7, 2026, 8:27 p.m. |
Created at: March 1, 2026, 7:47 p.m.