Triple
T12479593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Travel |
E298270
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object | Morris Air |
E61515
|
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: Morris Air | Statement: [Morris Travel, owned, Morris Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Air Context triple: [Morris Travel, owned, Morris Air]
-
A.
Morris Air
chosen
Morris Air was a low-cost U.S. airline based in Utah that became notable for pioneering electronic ticketing before being acquired by Southwest Airlines in the 1990s.
-
B.
Horace Short
Horace Short was a pioneering British aviation engineer and co-founder of Short Brothers, one of the world’s first aircraft manufacturing companies.
-
C.
Avro
Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
-
D.
Avro
Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
-
E.
Hawker
Hawker is a surname of English origin borne by various notable individuals across fields such as aviation, politics, and the arts.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcdcd3c81908ad29145db241408 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556c8e4c8190aa7df1defb4cce78 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:56 p.m.