Triple

T19735097
Position Surface form Disambiguated ID Type / Status
Subject Alameda E473957 entity
Predicate isPartOf P10 FINISHED
Object Santiago city center NE NERFINISHED

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: Santiago city center | Statement: [Alameda, isPartOf, Santiago city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago city center
Context triple: [Alameda, isPartOf, Santiago city center]
  • A. Santiago Centro chosen
    Santiago Centro is the historic downtown commune of Santiago, Chile, known as the city’s political, commercial, and cultural core.
  • B. Santiago civic district
    Santiago civic district is the central governmental area of Santiago, Chile, known for its concentration of national administrative buildings, historic architecture, and public squares.
  • C. City of Santiago
    The City of Santiago is the capital and largest urban center of Chile, serving as the country’s political, economic, and cultural hub.
  • D. Santiago Oriente
    Santiago Oriente is an electoral district in Chile that encompasses several eastern communes of Santiago, known for being a predominantly affluent and urban area of the capital.
  • E. Santiago City
    Santiago City is a highly urbanized commercial and industrial center in the Cagayan Valley region of the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.