Triple

T4853009
Position Surface form Disambiguated ID Type / Status
Subject Salem Municipality E108459 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Rönninge
Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
E475239 NE FINISHED

How this triple was built (4 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: Rönninge | Statement: [Salem Municipality, hasAdministrativeCenter, Rönninge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rönninge
Context triple: [Salem Municipality, hasAdministrativeCenter, Rönninge]
  • A. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • B. Tynningö
    Tynningö is an island in Sweden’s Stockholm archipelago, known for its summer homes, natural scenery, and proximity to the town of Vaxholm.
  • C. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • D. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • E. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rönninge
Triple: [Salem Municipality, hasAdministrativeCenter, Rönninge]
Generated description
Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rönninge
Target entity description: Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
  • A. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • B. Tynningö
    Tynningö is an island in Sweden’s Stockholm archipelago, known for its summer homes, natural scenery, and proximity to the town of Vaxholm.
  • C. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • D. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • E. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • F. None of above. chosen

Provenance (5 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5f6142648190bec124c9c3933cc3 completed March 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_69be5ffeaff481908e2e80ddc82ac6f6 completed March 21, 2026, 9:08 a.m.
Created at: March 20, 2026, 1:26 p.m.