Triple

T6684774
Position Surface form Disambiguated ID Type / Status
Subject O Mon District E152072 entity
Predicate administrativeCenter P1474 FINISHED
Object O Mon (town) E429175 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: O Mon (town) | Statement: [O Mon District, administrativeCenter, O Mon (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O Mon (town)
Context triple: [O Mon District, administrativeCenter, O Mon (town)]
  • A. Mojon̄
    Mojon̄ is a settlement that served as the administrative capital of the former United Nations Trust Territory of the Pacific Islands in Micronesia.
  • B. Monywa
    Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
  • C. Ô Môn chosen
    Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
  • D. Mooanam
    Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
  • E. Monguí
    Monguí is a historic colonial town in central Colombia renowned for its well-preserved architecture and traditional leather and soccer ball craftsmanship.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007ad59c8190a752d9b1152c3435 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:04 p.m.