Triple

T5976848
Position Surface form Disambiguated ID Type / Status
Subject Garanhuns Winter Festival E133021 entity
Predicate mainVenueCity P19642 FINISHED
Object Garanhuns E154541 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: Garanhuns | Statement: [Garanhuns Winter Festival, mainVenueCity, Garanhuns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garanhuns
Context triple: [Garanhuns Winter Festival, mainVenueCity, Garanhuns]
  • A. Garanhuns chosen
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • B. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • C. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • D. Lothagam
    Lothagam is an archaeological and geological site in northern Kenya known for its ancient human burials and prominent rock formations along the western shore of Lake Turkana.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3cffb08190a764a404a4ce5812 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1355db96c8190b40b32b8d3a5dbdf completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:04 p.m.