Triple

T128817
Position Surface form Disambiguated ID Type / Status
Subject Lima E2605 entity
Predicate hasMetropolitanAreaName P5155 FINISHED
Object Lima Metropolitan Area E2605 NE FINISHED

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: Lima Metropolitan Area | Statement: [Lima, hasMetropolitanAreaName, Lima Metropolitan Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Metropolitan Area
Context triple: [Lima, hasMetropolitanAreaName, Lima Metropolitan Area]
  • A. Lima chosen
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • B. Callao
    Callao is Peru’s chief seaport and a major coastal city adjacent to Lima, serving as the country’s principal gateway for maritime trade.
  • C. Santiago Metropolitan Region
    The Santiago Metropolitan Region is Chile’s most populous and economically significant administrative region, encompassing the nation’s capital city of Santiago.
  • D. Guayaquil
    Guayaquil is a major Pacific port city in southwestern Ecuador and the country’s principal commercial and industrial center.
  • E. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetropolitanAreaName
Context triple: [Lima, hasMetropolitanAreaName, Lima Metropolitan Area]
  • A. metropolitanAreaNickname
    Indicates that a metropolitan area is known by a particular informal or colloquial nickname.
  • B. partOfMetropolitanArea
    Indicates that one place is included within and belongs to the larger metropolitan area of another place.
  • C. largestMetropolitanArea
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • D. servesAsFocusCityFor
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • E. regionName
    Indicates the name assigned to a specific geographic or administrative region.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a2576518e0819096b35d8af7a4d1bd completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e55004819096a8cc1bfec7a225 completed Feb. 28, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69a2564da96c8190aa8204de25229c15 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256c72f6c81909b619b90d829d86e completed Feb. 28, 2026, 2:45 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.