Triple

T6607453
Position Surface form Disambiguated ID Type / Status
Subject Co Do District E149152 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Co Do (township) E599762 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: Co Do (township) | Statement: [Co Do District, hasAdministrativeCenter, Co Do (township)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Co Do (township)
Context triple: [Co Do District, hasAdministrativeCenter, Co Do (township)]
  • A. Co Do (township) chosen
    Co Do is a small township in Vietnam that serves as the administrative and economic center of Co Do District.
  • B. Dorr Township
    Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
  • C. Coleman Township
    Coleman Township is a small rural municipality located within Ontario's Timiskaming District in Canada.
  • D. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • E. Cicero Township
    Cicero Township is a civil township in Cook County, Illinois, that encompasses the town of Cicero and parts of the Chicago metropolitan area.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af15c0e481908c5d2917360b075e completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43cc42081909762eec710773f40 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.