Triple
T8660289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swissair |
E205529
|
entity |
| Predicate | mergerOf |
P402
|
FINISHED |
| Object | Balair |
E748921
|
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: Balair | Statement: [Swissair, mergerOf, Balair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balair Context triple: [Swissair, mergerOf, Balair]
-
A.
Balair
chosen
Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
-
B.
Balantak
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
C.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
D.
Ballu
Ballu is a French surname most notably associated with architect Albert Ballu.
-
E.
Bala
Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef37efbf08190805fbb270a4bce37 |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:30 p.m.