Triple

T16103172
Position Surface form Disambiguated ID Type / Status
Subject Ferrocarril Central Andino E390672 entity
Predicate startingPoint P389 FINISHED
Object Callao area E26734 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: Callao area | Statement: [Ferrocarril Central Andino, startingPoint, Callao area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callao area
Context triple: [Ferrocarril Central Andino, startingPoint, Callao area]
  • A. Callao chosen
    Callao is Peru’s chief seaport and a major coastal city adjacent to Lima, serving as the country’s principal gateway for maritime trade.
  • B. Callao
    Callao is a central Madrid Metro station located in the busy commercial and entertainment hub around Plaza del Callao in the city center.
  • C. Callao Region
    Callao Region is a coastal administrative region of Peru that encompasses the country’s chief seaport and forms part of the Lima metropolitan area.
  • D. Lima District
    Lima District is the historic and administrative center of Peru’s capital city, encompassing the main government institutions, colonial core, and principal civic and commercial areas of Lima.
  • E. Rímac District
    Rímac District is a historic urban district of Lima, Peru, known for its colonial architecture, cultural landmarks, and location across the Rímac River from central Lima.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba007c08190bf4d3cf092abc7dd completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.