Triple

T7029369
Position Surface form Disambiguated ID Type / Status
Subject Shah Amanat International Airport E163231 entity
Predicate focusCityFor P164 FINISHED
Object US-Bangla Airlines E573569 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: US-Bangla Airlines | Statement: [Shah Amanat International Airport, focusCityFor, US-Bangla Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US-Bangla Airlines
Context triple: [Shah Amanat International Airport, focusCityFor, US-Bangla Airlines]
  • A. US-Bangla Airlines chosen
    US-Bangla Airlines is a Bangladeshi private airline that operates domestic and international flights, using Dhaka as its primary base of operations.
  • B. Biman Bangladesh Airlines
    Biman Bangladesh Airlines is the national flag carrier of Bangladesh, operating domestic and international passenger and cargo services primarily across Asia, the Middle East, and Europe.
  • 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. 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.
  • E. Air Union
    Air Union was a pioneering French airline of the early 20th century that became one of the key predecessors of Air France.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e200ecdc819098ca07473dfb272a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775919734819083beb10b4c2b146e completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.