Triple

T2248175
Position Surface form Disambiguated ID Type / Status
Subject HK Express E49553 entity
Predicate operatesFlightsTo P36478 FINISHED
Object Laos E10737 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: Laos | Statement: [HK Express, operatesFlightsTo, Laos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laos
Context triple: [HK Express, operatesFlightsTo, Laos]
  • A. Laos chosen
    Laos is a landlocked Southeast Asian country known for its mountainous terrain, Buddhist culture, and status as one of the region’s least developed but rapidly reforming economies.
  • B. Cambodia
    Cambodia is a Southeast Asian nation known for its ancient Khmer civilization, the Angkor Wat temple complex, and a modern history marked by French colonial rule and the Khmer Rouge regime.
  • C. Viet Nam
    Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
  • D. Thailand
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • E. Kambojas
    The Kambojas were an ancient Indo-Iranian people mentioned in Indian and Persian sources, known for their warrior traditions and presence in regions around present-day Afghanistan and northwestern South 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b262488190b6455d1d28d2306d completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b7380c8190b1a70f7032c442a5 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:47 p.m.