Triple

T16224720
Position Surface form Disambiguated ID Type / Status
Subject CH-7 E393815 entity
Predicate passesThrough P225 FINISHED
Object Puerto Aysén E378206 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: Puerto Aysén | Statement: [CH-7, passesThrough, Puerto Aysén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Aysén
Context triple: [CH-7, passesThrough, Puerto Aysén]
  • A. Puerto Aysén chosen
    Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
  • B. Puerto Valdivia
    Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
  • C. Puerto Varas
    Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
  • D. Coyhaique
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • E. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d24f9688190b670cfeb73332293 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:03 a.m.