Triple
T14945460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Illinois Regional Airport |
E372644
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | BMI |
E1128118
|
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: BMI | Statement: [Central Illinois Regional Airport, FAAcode, BMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMI Context triple: [Central Illinois Regional Airport, FAAcode, BMI]
-
A.
BMI
BMI is the commonly used abbreviation for Germany’s Federal Ministry of the Interior, which is responsible for domestic security, public administration, and constitutional affairs.
-
B.
BMI
BMI is a major U.S. performing rights organization that licenses and collects royalties for songwriters, composers, and music publishers.
-
C.
BMI
chosen
BMI is the IATA airport code for Central Illinois Regional Airport in Bloomington–Normal, Illinois.
-
D.
BMIN
BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
-
E.
BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd871188190afcba3be94dbfa94 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:39 a.m.