Triple

T9498701
Position Surface form Disambiguated ID Type / Status
Subject Cham (district) E229078 entity
Predicate capital P234 FINISHED
Object Cham E229076 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: [Cham (district), capital, Cham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cham
Context triple: [Cham (district), capital, Cham]
  • A. Cham chosen
    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
    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. Chamavi
    The Chamavi were an early Germanic tribe, likely part of the broader West Germanic group, known from Roman-era sources in the region of the lower Rhine.
  • D. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • E. Chalam
    Chalam was a pioneering 20th-century Telugu writer known for his radical, feminist-themed novels and social reformist ideas.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0a5ec881908bb1643d2bea2c9f completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:56 p.m.