Triple

T19095838
Position Surface form Disambiguated ID Type / Status
Subject Gran Santiago E467401 entity
Predicate contains P35 FINISHED
Object Macul 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: Macul | Statement: [Gran Santiago, contains, Macul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macul
Context triple: [Gran Santiago, contains, Macul]
  • A. Macul chosen
    Macul is a commune in Santiago, Chile, known as a primarily residential and educational area that also hosts major sports venues.
  • B. Malaun
    Malaun is a historic hill town and former fortress area in Himachal Pradesh, India, known for its strategic role in early 19th-century Anglo-Gurkha conflicts.
  • C. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • D. Maluch
    Maluch is the popular Polish nickname for the small, iconic Fiat 126 city car that became a symbol of everyday life in communist-era Poland.
  • E. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.