Triple
T10692148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawker Siddeley HS 748 |
E252036
|
entity |
| Predicate | firstOperator |
P5623
|
FINISHED |
| Object | Aviaco |
E857222
|
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: Aviaco | Statement: [Hawker Siddeley HS 748, firstOperator, Aviaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aviaco Context triple: [Hawker Siddeley HS 748, firstOperator, Aviaco]
-
A.
Aviaco
chosen
Aviaco was a Spanish airline that operated domestic and regional flights from the mid-20th century until its integration into Iberia.
-
B.
Union Airways
Union Airways was an early South African airline that later became part of the national carrier, South African Airways.
-
C.
Kel Air
Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
-
D.
World Airways
World Airways was a U.S.-based charter and scheduled airline known for military transport, long-haul international services, and operating widebody aircraft such as the McDonnell Douglas DC-10.
-
E.
Ibex Airlines
Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd37cf408190a1912b3e0aa096a5 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988ad741c8190b9ae962e0c5bc272 |
completed | April 10, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:11 p.m.