Triple

T10445430
Position Surface form Disambiguated ID Type / Status
Subject Linköping Cathedral E246272 entity
Predicate cityLandmarkOf P7335 FINISHED
Object Linköping E48161 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: Linköping | Statement: [Linköping Cathedral, cityLandmarkOf, Linköping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linköping
Context triple: [Linköping Cathedral, cityLandmarkOf, Linköping]
  • A. Linköping chosen
    Linköping is a major city in southern Sweden known for its university, high-tech industry, and historic cathedral.
  • B. Lidköping
    Lidköping is a Swedish town on the southern shore of Lake Vänern known for its historic center, ceramics industry, and role as a local commercial hub.
  • C. Nyköping
    Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
  • D. Norrköping
    Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
  • E. Jönköping
    Jönköping is a city in southern Sweden, located at the southern end of Lake Vättern and known as a regional commercial and logistical hub.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90d9ed4988190b4fee055eaad39c5 completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:16 p.m.