Triple

T19674655
Position Surface form Disambiguated ID Type / Status
Subject Gran Santiago metropolitan area E472421 entity
Predicate includesMunicipality P14658 FINISHED
Object Huechuraba 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: Huechuraba | Statement: [Gran Santiago metropolitan area, includesMunicipality, Huechuraba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huechuraba
Context triple: [Gran Santiago metropolitan area, includesMunicipality, Huechuraba]
  • A. Huechuraba chosen
    Huechuraba is a commune and residential–commercial district in the northern part of Santiago, Chile, known for its mix of middle-class neighborhoods, business parks, and hilly terrain.
  • B. Ikoma
    Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
  • C. Hakatajima
    Hakatajima is an island in Japan’s Seto Inland Sea, known as one of the key islands linked by bridges along the scenic Shimanami Kaido cycling route between Honshu and Shikoku.
  • D. Ogikubo
    Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
  • E. Kawasoe
    Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.