Triple

T1176824
Position Surface form Disambiguated ID Type / Status
Subject Sigtuna Municipality E25045 entity
Predicate contains P35 FINISHED
Object Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
E141523 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: Märsta | Statement: [Sigtuna Municipality, contains, Märsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märsta
Context triple: [Sigtuna Municipality, contains, Märsta]
  • A. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • B. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Trastámaran
    Trastámaran refers to a member or subject of the House of Trastámara, the late medieval royal dynasty that ruled over Castile, Aragon, and other Iberian realms.
  • 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: Märsta
Triple: [Sigtuna Municipality, contains, Märsta]
Generated description
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Märsta
Target entity description: Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • A. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • B. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Trastámaran
    Trastámaran refers to a member or subject of the House of Trastámara, the late medieval royal dynasty that ruled over Castile, Aragon, and other Iberian realms.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0ebbd08190a441d16a5b65a15e completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0646388190b440451d786db04c completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8ccae06c81909704cdf102dcc7dd completed March 7, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69ac8d2ee740819081369787bbf1ef93 completed March 7, 2026, 8:40 p.m.
Created at: March 1, 2026, 7:45 p.m.