Triple

T19176573
Position Surface form Disambiguated ID Type / Status
Subject Los Ríos Region E469452 entity
Predicate hasCity P316 FINISHED
Object Máfil 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: Máfil | Statement: [Los Ríos Region, hasCity, Máfil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Máfil
Context triple: [Los Ríos Region, hasCity, Máfil]
  • A. Máfil chosen
    Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
  • B. Manglicmot
    Manglicmot is a rural barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • C. Mornaguia
    Mornaguia is a town in northern Tunisia that serves as one of the main urban centers of Manouba Governorate, known for its agricultural surroundings and proximity to the capital, Tunis.
  • D. Marajil
    Marajil was the mother of the Abbasid caliph al-Ma'mun and a woman of the early ninth-century Abbasid court.
  • E. Marahuté
    Marahuté is a majestic golden eagle from Disney's animated film "The Rescuers Down Under," known for her enormous size, gentle nature, and role as a rare and endangered creature the heroes strive to protect.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6181f0c8190b344072db0b7abbb completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.