Triple
T16750147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JAT Yugoslav Airlines |
E407051
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | JAT |
E407051
|
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: JAT | Statement: [JAT Yugoslav Airlines, callsign, JAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JAT Context triple: [JAT Yugoslav Airlines, callsign, JAT]
-
A.
JATA
JATA is the public transit agency serving the Jackson, Michigan area with bus and related transportation services.
-
B.
Jat
Jat is a traditionally agrarian, martial, and landowning community primarily found in northern India and Pakistan, known for its significant cultural and political influence in the region.
-
C.
JAT Yugoslav Airlines
chosen
JAT Yugoslav Airlines was the former national flag carrier of Yugoslavia, operating extensive domestic and international routes across Europe and beyond during much of the 20th century.
-
D.
Polet Airlines
Polet Airlines was a Russian airline that operated cargo and passenger services, including long-haul flights with wide-body aircraft.
-
E.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa265a908190a87fa4612bfe6396 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb069cf481908e029b26ad96d3b5 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:21 a.m.