Triple

T15301030
Position Surface form Disambiguated ID Type / Status
Subject Route 68 (Chile) E365787 entity
Predicate alsoKnownAs P39 FINISHED
Object Ruta 68 E552424 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: Ruta 68 | Statement: [Route 68 (Chile), alsoKnownAs, Ruta 68]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruta 68
Context triple: [Route 68 (Chile), alsoKnownAs, Ruta 68]
  • A. Ruta 68 chosen
    Ruta 68 is a major Chilean highway that connects the capital city of Santiago with the coastal city and port of Valparaíso.
  • B. Carretera Federal 19
    Carretera Federal 19 is a major Mexican federal highway in Baja California Sur that connects the cities of Cabo San Lucas and La Paz along the Pacific coast.
  • C. Carretera Federal 2
    Carretera Federal 2 is a major Mexican federal highway running along the U.S.–Mexico border in northern Mexico, connecting several key border cities.
  • D. Carretera Federal 15
    Carretera Federal 15 is a major Mexican federal highway that runs along the Pacific coast, connecting Mexico City with key cities such as Guadalajara, Mazatlán, and Nogales near the U.S. border.
  • E. Carretera Federal 70
    Carretera Federal 70 is a major Mexican federal highway that runs east–west across central Mexico, connecting several key cities and regions.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e47d8c8190844d45dda9a3e5ea completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.