Triple
T7708561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LA |
E174686
|
entity |
| Predicate | previouslyDesignated |
P12531
|
FINISHED |
| Object | LAN Airlines |
E123604
|
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: LAN Airlines | Statement: [LA, previouslyDesignated, LAN Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAN Airlines Context triple: [LA, previouslyDesignated, LAN Airlines]
-
A.
LAN Airlines
chosen
LAN Airlines was a major Chilean airline that became one of Latin America’s largest carriers before merging into the LATAM Airlines Group.
-
B.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
C.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
-
D.
PAL Airlines
PAL Airlines is a Canadian regional airline that operates passenger and cargo flights primarily throughout Newfoundland and Labrador and other parts of eastern Canada.
-
E.
Spring Airlines
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702aadea08190bf827f5d51535224 |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc896008190bacae1ae79498103 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.