Triple
T9562679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi CRJ700 |
E230711
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | CRJ701 |
E22404
|
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: CRJ701 | Statement: [Mitsubishi CRJ700, hasVariant, CRJ701]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRJ701 Context triple: [Mitsubishi CRJ700, hasVariant, CRJ701]
-
A.
Mitsubishi CRJ700
The Mitsubishi CRJ700 is a regional jet airliner designed for short- to medium-haul routes, commonly used by regional carriers around the world.
-
B.
C-7
C-7 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with various suburban areas.
-
C.
Bombardier CRJ family
chosen
The Bombardier CRJ family is a series of regional jet airliners widely used by airlines around the world for short- to medium-haul routes.
-
D.
CEDAR JET
CEDAR JET is the radio callsign used by Middle East Airlines for its commercial flight operations.
-
E.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9965e7b881909df98e933db38092 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a014a48190925d52967e1fbffe |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.