Triple

T6926548
Position Surface form Disambiguated ID Type / Status
Subject Ciego de Ávila E160323 entity
Predicate hasTransportConnection P845 FINISHED
Object Carretera Central E138277 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: Carretera Central | Statement: [Ciego de Ávila, hasTransportConnection, Carretera Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carretera Central
Context triple: [Ciego de Ávila, hasTransportConnection, Carretera Central]
  • A. Carretera Central chosen
    Carretera Central is a major Cuban highway that runs the length of the island, connecting key cities and provinces, including Pinar del Río.
  • B. Carretera Central
    Carretera Central is a major Peruvian highway that connects Lima with the country’s central highlands and interior regions.
  • C. Ortega Highway
    Ortega Highway is a scenic and winding mountain road in Southern California that connects Orange and Riverside counties through the Santa Ana Mountains.
  • D. Avenida Tobalaba
    Avenida Tobalaba is a major thoroughfare in Santiago, Chile, running through several communes and serving as an important urban transit and commercial corridor.
  • E. Avenida El Sol
    Avenida El Sol is one of Cusco’s principal thoroughfares, known for its concentration of shops, hotels, and access to major historical and tourist sites in the city.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1aa9c48190b63a04be2ed9e266 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514359148190b87b39efc8e714a8 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.