Triple

T12274202
Position Surface form Disambiguated ID Type / Status
Subject Avenida Marathon, Macul, Santiago E292548 entity
Predicate locatedIn P40 FINISHED
Object Macul E292545 NE FINISHED

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: [Avenida Marathon, Macul, Santiago, locatedIn, Macul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macul
Context triple: [Avenida Marathon, Macul, Santiago, locatedIn, 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. 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.
  • E. Maala
    Maala is a town located within Bouira Province in northern Algeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63464486c819085452675a43785b1 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.