Triple

T21430183
Position Surface form Disambiguated ID Type / Status
Subject Bogue E528662 entity
Predicate locatedNear P294 FINISHED
Object Humen NE NERFINISHED

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: Humen | Statement: [Bogue, locatedNear, Humen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humen
Context triple: [Bogue, locatedNear, Humen]
  • A. Humen chosen
    Humen is a town in Guangdong, China, historically significant as a strategic Pearl River Delta port and a key site in the events leading to the First Opium War.
  • B. Swatow
    Swatow is the older English name for Shantou, a major port city in Guangdong Province, China, historically important in maritime trade and Teochew culture.
  • C. Beitbridge
    Beitbridge is a border town in southern Zimbabwe that serves as a major crossing point between Zimbabwe and South Africa.
  • D. Dundas
    Dundas is a Scottish surname historically associated with a prominent Lowland family influential in politics, law, and public life in Britain.
  • E. Dundas
    Dundas is a community in Hamilton, Ontario, Canada, known for its historic downtown, scenic valley setting, and role as a residential and commercial hub within the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.