Triple

T10359798
Position Surface form Disambiguated ID Type / Status
Subject John Mauropous E244102 entity
Predicate placeOfActivity P1527 FINISHED
Object Euchaita E858639 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: Euchaita | Statement: [John Mauropous, placeOfActivity, Euchaita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euchaita
Context triple: [John Mauropous, placeOfActivity, Euchaita]
  • A. Euchaita chosen
    Euchaita was an important Byzantine town in Asia Minor, known as a religious and administrative center during the Middle Byzantine period.
  • B. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • C. Chiriguaná
    Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
  • D. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953205cc8190ad7f28a7436049bc completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:59 a.m.