Triple

T21320718
Position Surface form Disambiguated ID Type / Status
Subject Sveavägen E525605 entity
Predicate connectedTo P37 FINISHED
Object Sveaplan 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: Sveaplan | Statement: [Sveavägen, connectedTo, Sveaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sveaplan
Context triple: [Sveavägen, connectedTo, Sveaplan]
  • A. Sveaplan chosen
    Sveaplan is a traffic square and intersection area in central Stockholm, Sweden.
  • B. Astra Planeta
    Astra Planeta are the personified star and planet deities of ancient Greek mythology, often depicted as radiant celestial gods associated with the night sky.
  • C. Solsidan
    Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
  • D. Teia
    Teia was the final king of the Ostrogoths in Italy, known for leading their last resistance against the Eastern Roman Empire in the mid-6th century.
  • E. Uranostinden
    Uranostinden is a prominent mountain peak in Norway’s Jotunheimen range, popular with hikers and mountaineers for its alpine scenery and challenging routes.
  • 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.