Triple
T9447601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwest Airlines |
E227803
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | MEP |
E789332
|
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: MEP | Statement: [Midwest Airlines, ICAOCode, MEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEP Context triple: [Midwest Airlines, ICAOCode, MEP]
-
A.
MEP
MEP stands for "Member of the European Parliament," referring to an elected representative serving in the European Union's legislative body.
-
B.
MEP
chosen
MEP is the ICAO airline designator assigned to Midwest Connect, a former regional airline brand in the United States.
-
C.
MECP
MECP is the provincial government ministry in Ontario responsible for environmental protection, conservation, and managing the province’s parks system.
-
D.
European Parliament
The European Parliament is the directly elected legislative body of the European Union, responsible for passing EU laws, approving budgets, and overseeing other EU institutions.
-
E.
Member of the European Parliament
A Member of the European Parliament is an elected representative who serves in the European Union’s legislative body, helping to create and amend EU laws and policies.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f62dfa48190bf318777d97f0f2a |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1106aeb708190bbbe1d05b7472194 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.