Triple

T2990896
Position Surface form Disambiguated ID Type / Status
Subject Amantaní Island E80747 entity
Predicate nearbyCity P350 FINISHED
Object Puno E61910 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: Puno | Statement: [Amantaní Island, nearbyCity, Puno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puno
Context triple: [Amantaní Island, nearbyCity, Puno]
  • A. Puno chosen
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • B. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • C. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • D. Puno Province
    Puno Province is an administrative division in southeastern Peru that includes the city of Puno on the shores of Lake Titicaca and serves as an important cultural and economic center of the region.
  • E. Arequipa
    Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99de55208190bc56ecbe08638e5a completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3ac3bc481909bf1d220fdf06488 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 2:59 p.m.