Triple

T20910429
Position Surface form Disambiguated ID Type / Status
Subject Club Atlético Huracán de Trelew E514925 entity
Predicate city P40 FINISHED
Object Trelew NE NERFINISHED

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: Trelew | Statement: [Club Atlético Huracán de Trelew, city, Trelew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trelew
Context triple: [Club Atlético Huracán de Trelew, city, Trelew]
  • A. Trelew chosen
    Trelew is a city in the Chubut Province of Argentine Patagonia, known as a commercial and transportation hub with strong Welsh cultural heritage.
  • B. Puerto Ingeniero Ibáñez
    Puerto Ingeniero Ibáñez is a small town in Chilean Patagonia known as an administrative and service center on the southern shore of General Carrera Lake.
  • C. Puerto Deseado
    Puerto Deseado is a coastal town in Argentina’s Santa Cruz Province, known as a fishing port and gateway to rich Patagonian marine wildlife and coastal landscapes.
  • D. San José de Flores
    San José de Flores is a station on the Buenos Aires Underground that serves the Flores neighborhood in the city of Buenos Aires, Argentina.
  • E. Puerto Madryn
    Puerto Madryn is a coastal city in Argentina’s Chubut Province, known as a gateway to the Valdés Peninsula and a prime destination for marine wildlife watching, especially whales and penguins.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec5e3f988190932956119197e3b1 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.