Triple

T5104910
Position Surface form Disambiguated ID Type / Status
Subject Rawson E115067 entity
Predicate locatedNear P294 FINISHED
Object Trelew E112982 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: Trelew | Statement: [Rawson, locatedNear, Trelew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trelew
Context triple: [Rawson, locatedNear, 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 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.
  • C. Puerto Natales
    Puerto Natales is a small Patagonian port town in southern Chile, best known as the main gateway to Torres del Paine National Park.
  • D. Puerto San Julián
    Puerto San Julián is a coastal town in Argentina’s Santa Cruz Province, historically notable as a stopover for early European expeditions and the site of Ferdinand Magellan’s infamous crew mutiny.
  • E. Panguipulli
    Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7589e40c8190a46e4a1b7142be14 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186790248190bc94cfbecf3cfe73 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:41 p.m.