Triple

T19642929
Position Surface form Disambiguated ID Type / Status
Subject Callao, Virginia E471586 entity
Predicate abbreviation P43 FINISHED
Object Callao
Callao is a small unincorporated community in Northumberland County, Virginia, known primarily as a rural locality in the Northern Neck region of the state.
 E1388711 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: Callao | Statement: [Callao, Virginia, abbreviation, Callao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Callao
Context triple: [Callao, Virginia, abbreviation, Callao]
  • A. 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.
  • B. Callao
    Callao is a central Madrid Metro station located in the busy commercial and entertainment hub around Plaza del Callao in the city center.
  • C. Lima
    Lima is a station on Buenos Aires’ historic Underground Line A, serving passengers in the city’s central area.
  • D. Lima
    Lima is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, aromatic white wines from local grape varieties.
  • E. Lima
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • 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: Callao
Triple: [Callao, Virginia, abbreviation, Callao]
Generated description
Callao is a small unincorporated community in Northumberland County, Virginia, known primarily as a rural locality in the Northern Neck region of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Callao
Target entity description: Callao is a small unincorporated community in Northumberland County, Virginia, known primarily as a rural locality in the Northern Neck region of the state.
  • A. 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.
  • B. Callao
    Callao is a central Madrid Metro station located in the busy commercial and entertainment hub around Plaza del Callao in the city center.
  • C. Lima
    Lima is a station on Buenos Aires’ historic Underground Line A, serving passengers in the city’s central area.
  • D. Lima
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • E. Lima
    Lima is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, aromatic white wines from local grape varieties.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64122d9f48190961c4b460256f9e7 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ee6f07481908ec455585df7ffef completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a07803a71048190a49fd3169eebbc27 completed May 15, 2026, 8:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07810b1de88190a2516712767fde52 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.