Triple

T6607444
Position Surface form Disambiguated ID Type / Status
Subject Co Do District E149152 entity
Predicate hasCapital P204 FINISHED
Object Co Do (township)
Co Do is a small township in Vietnam that serves as the administrative and economic center of Co Do District.
E599762 NE FINISHED

How this triple was built (4 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, hasCapital, 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, hasCapital, Co Do (township)]
  • A. Dorr Township
    Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
  • B. Coleman Township
    Coleman Township is a small rural municipality located within Ontario's Timiskaming District in Canada.
  • C. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • D. 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.
  • E. Evanturel Township
    Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Co Do (township)
Triple: [Co Do District, hasCapital, Co Do (township)]
Generated description
Co Do is a small township in Vietnam that serves as the administrative and economic center of Co Do District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Co Do (township)
Target entity description: Co Do is a small township in Vietnam that serves as the administrative and economic center of Co Do District.
  • A. Dorr Township
    Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
  • B. Coleman Township
    Coleman Township is a small rural municipality located within Ontario's Timiskaming District in Canada.
  • C. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • D. 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.
  • E. Evanturel Township
    Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
  • F. None of above. chosen

Provenance (5 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_69c6cbce25b481908d600d38d3c5b871 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0a98908190a5725c49bad7589d completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcc10c08190aa98212bd17063a3 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:57 p.m.