Triple

T17877171
Position Surface form Disambiguated ID Type / Status
Subject Town of Elba, New York E446984 entity
Predicate isPartOfMetropolitanArea P294 FINISHED
Object Batavia micropolitan area NE NERFINISHED

How this triple was built (3 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: Batavia micropolitan area | Statement: [Town of Elba, New York, isPartOfMetropolitanArea, Batavia micropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batavia micropolitan area
Context triple: [Town of Elba, New York, isPartOfMetropolitanArea, Batavia micropolitan area]
  • A. Mamminasata metropolitan area
    The Mamminasata metropolitan area is a major urban agglomeration in South Sulawesi, Indonesia, centered on Makassar and encompassing surrounding regencies including Gowa.
  • B. Bata metropolitan area
    The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
  • C. Shiga urban area
    The Shiga urban area is a metropolitan region in Shiga Prefecture, Japan, centered around cities such as Ōtsu and Kusatsu along the southern shores of Lake Biwa.
  • D. Sabha metropolitan area
    Sabha metropolitan area is the urban agglomeration centered on the city of Sabha in southwestern Libya, serving as a key regional hub for administration, trade, and transport in the Fezzan region.
  • E. Bandung metropolitan area
    The Bandung metropolitan area is a major urban and economic region in West Java, Indonesia, centered on the city of Bandung and its surrounding suburbs and satellite towns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Batavia micropolitan area
Target entity description: The Batavia micropolitan area is a small U.S. population center in western New York State, centered on the city of Batavia and its surrounding communities.
  • A. Mamminasata metropolitan area
    The Mamminasata metropolitan area is a major urban agglomeration in South Sulawesi, Indonesia, centered on Makassar and encompassing surrounding regencies including Gowa.
  • B. Bata metropolitan area
    The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
  • C. Shiga urban area
    The Shiga urban area is a metropolitan region in Shiga Prefecture, Japan, centered around cities such as Ōtsu and Kusatsu along the southern shores of Lake Biwa.
  • D. Sabha metropolitan area
    Sabha metropolitan area is the urban agglomeration centered on the city of Sabha in southwestern Libya, serving as a key regional hub for administration, trade, and transport in the Fezzan region.
  • E. Bandung metropolitan area
    The Bandung metropolitan area is a major urban and economic region in West Java, Indonesia, centered on the city of Bandung and its surrounding suburbs and satellite towns.
  • F. None of above. chosen

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa6d24081908212e10d07c85a2b completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.