Triple

T4050553
Position Surface form Disambiguated ID Type / Status
Subject Lake Atitlán E84173 entity
Predicate hasNearbyCity P350 FINISHED
Object Panajachel E388693 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: Panajachel | Statement: [Lake Atitlán, hasNearbyCity, Panajachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panajachel
Context triple: [Lake Atitlán, hasNearbyCity, Panajachel]
  • A. Panajachel chosen
    Panajachel is a popular lakeside town on the shores of Lake Atitlán in Guatemala, known for its scenic volcano views and vibrant tourism scene.
  • B. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • C. Paso Hua Hum
    Paso Hua Hum is a remote Andean mountain pass and international border crossing linking southern Argentina and Chile through the Patagonian Lake District.
  • D. Puerto López
    Puerto López is a Colombian town and municipality in the Meta Department, known as a gateway to the Llanos plains and often cited as being near the geographic center of Colombia.
  • E. Puerto López
    Puerto López is a coastal town in Ecuador renowned for its beaches, whale-watching opportunities, and access to Machalilla National Park.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8413848190992e4b5f3b29b43c completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629e75e88190935ae3e7db8eb12f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.