Triple
T9447602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwest Airlines |
E227803
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | MIDEX |
E789333
|
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: MIDEX | Statement: [Midwest Airlines, callsign, MIDEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIDEX Context triple: [Midwest Airlines, callsign, MIDEX]
-
A.
MIDEX
chosen
MIDEX is the radio callsign used by Midwest Connect, a former regional airline brand in the United States.
-
B.
Medium Explorer (MIDEX)
Medium Explorer (MIDEX) is a class of NASA astrophysics missions designed to conduct focused, mid-scale space science investigations with moderate budgets and mission scopes.
-
C.
Reed Exhibitions
Reed Exhibitions is a global events and trade show organizer known for producing large-scale exhibitions and conferences across diverse industries worldwide.
-
D.
Messe Berlin
Messe Berlin is a major exhibition and trade fair center in Berlin, Germany, hosting international trade shows, conferences, and large-scale events.
-
E.
Hannover Messe
Hannover Messe is one of the world’s largest and most influential industrial technology trade fairs, held annually in Hanover, Germany.
- 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.