Triple

T16863085
Position Surface form Disambiguated ID Type / Status
Subject Furka Base Tunnel E409969 entity
Predicate connects P390 FINISHED
Object Realp E563538 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: Realp | Statement: [Furka Base Tunnel, connects, Realp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Realp
Context triple: [Furka Base Tunnel, connects, Realp]
  • A. Realp chosen
    Realp is a small Swiss mountain village and municipality in the canton of Uri, known as a base for alpine activities and access to the Furka region.
  • B. Reitoca
    Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
  • C. Riaza
    Riaza is a small historic town in the province of Segovia, Spain, known for its traditional Castilian architecture and proximity to the Sierra de Ayllón mountains.
  • D. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • E. Rincón
    Rincón is a coastal municipality on the western tip of Puerto Rico, renowned for its surfing beaches, sunsets, and laid-back tourist atmosphere.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50488fc8190b3b646543c3ba476 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb274ba48190951acde0821e05a0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.