Triple
T21119035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elrey Borge Jeppesen |
E520375
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Jeppesen |
—
|
NE NERFINISHED |
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: Jeppesen | Statement: [Elrey Borge Jeppesen, founded, Jeppesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeppesen Context triple: [Elrey Borge Jeppesen, founded, Jeppesen]
-
A.
Jeppesen
chosen
Jeppesen is an aviation-focused company best known for providing aeronautical charts, navigation information, and flight planning solutions to pilots and airlines worldwide.
-
B.
Jeppesen Terminal
Jeppesen Terminal is the central passenger terminal complex at Denver International Airport, known for its distinctive tent-like roof structure inspired by the nearby Rocky Mountains.
-
C.
Gleim
Gleim is a German surname most notably associated with Johann Wilhelm Ludwig Gleim, an 18th-century poet of the Enlightenment era.
-
D.
Skyways
Skyways was a British airline that operated in the mid-20th century, known for using aircraft such as the Avro York on its passenger and cargo services.
-
E.
Skyways
Skyways is an Australian television drama series from the late 1970s that focuses on the staff and operations of a busy international airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223176c48190bfbaea41c2209a15 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.