Triple

T21320721
Position Surface form Disambiguated ID Type / Status
Subject Sveavägen E525605 entity
Predicate hasJunctionWith P1018 FINISHED
Object Odengatan NE NERFINISHED

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: Odengatan | Statement: [Sveavägen, hasJunctionWith, Odengatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odengatan
Context triple: [Sveavägen, hasJunctionWith, Odengatan]
  • A. Odengatan chosen
    Odengatan is a major street in central Stockholm, Sweden, known for its length, busy traffic, and role as an important east–west thoroughfare in the city.
  • B. Engey
    Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
  • C. Ogna
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • D. Ogna
    Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
  • E. Mangfall
    The Mangfall is a river in Bavaria, Germany, that flows through the foothills of the Alps and serves as an important tributary of the Inn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.