Triple

T4233239
Position Surface form Disambiguated ID Type / Status
Subject Châu Đốc E94629 entity
Predicate hasMinorityLanguage P2267 FINISHED
Object Cham E421806 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: Cham | Statement: [Châu Đốc, hasMinorityLanguage, Cham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cham
Context triple: [Châu Đốc, hasMinorityLanguage, Cham]
  • A. Cham
    Cham is a town in the Upper Palatinate region of Bavaria, Germany, known for its location along the Regen River and its historical role as a regional center.
  • B. Cham chosen
    The Cham are an Austronesian ethnic group of Southeast Asia, historically associated with the ancient kingdom of Champa and now living mainly in Vietnam and Cambodia, with distinct Islamic traditions and cultural practices.
  • C. Cholon
    Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
  • D. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • E. Adjame
    Adjame is a bustling commercial and residential district of Abidjan in Côte d'Ivoire, known for its major markets and transport hubs.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a85fdbe08190bcdc18a4bc456b59 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.