Triple

T4050562
Position Surface form Disambiguated ID Type / Status
Subject Lake Atitlán E84173 entity
Predicate hasNearbyTown P3883 FINISHED
Object Tzununá
Tzununá is a small, tranquil Mayan village in Guatemala known for its natural beauty, traditional culture, and growing community of eco-lodges and retreat centers.
 E409171 NE FINISHED

How this triple was built (4 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: Tzununá | Statement: [Lake Atitlán, hasNearbyTown, Tzununá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tzununá
Context triple: [Lake Atitlán, hasNearbyTown, Tzununá]
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tzununá
Triple: [Lake Atitlán, hasNearbyTown, Tzununá]
Generated description
Tzununá is a small, tranquil Mayan village in Guatemala known for its natural beauty, traditional culture, and growing community of eco-lodges and retreat centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tzununá
Target entity description: Tzununá is a small, tranquil Mayan village in Guatemala known for its natural beauty, traditional culture, and growing community of eco-lodges and retreat centers.
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • F. None of above. chosen

Provenance (5 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_69b55656ecbc819093f23636a7f72f36 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55718acb88190a491e9654c1f1b7f completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b55785a6b4819083737f26eb5db217 completed March 14, 2026, 12:41 p.m.
Created at: March 9, 2026, 3:37 p.m.