Triple

T1031928
Position Surface form Disambiguated ID Type / Status
Subject Huddinge Municipality E22271 entity
Predicate contains P35 FINISHED
Object Skogås
Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
 E139618 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: Skogås | Statement: [Huddinge Municipality, contains, Skogås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skogås
Context triple: [Huddinge Municipality, contains, Skogås]
  • A. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • B. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • C. Järna
    Järna is a locality in eastern Sweden known for its strong anthroposophical community, biodynamic farming, and cultural institutions.
  • D. Numedal
    Numedal is a valley in southeastern Norway known for its traditional wooden architecture, medieval stave churches, and scenic river landscape.
  • E. Tungelsta
    Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
  • 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: Skogås
Triple: [Huddinge Municipality, contains, Skogås]
Generated description
Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skogås
Target entity description: Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
  • A. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • B. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • C. Järna
    Järna is a locality in eastern Sweden known for its strong anthroposophical community, biodynamic farming, and cultural institutions.
  • D. Numedal
    Numedal is a valley in southeastern Norway known for its traditional wooden architecture, medieval stave churches, and scenic river landscape.
  • E. Tungelsta
    Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b811916481908c05c2dd5ec802ec completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac83000d408190a79f6cdaee32b0f7 completed March 7, 2026, 7:56 p.m.
NEDg Description generation batch_69ac838fc3d08190aa43d7f2767fe7d2 completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac8425ab408190a25c0f5db40ae77f completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:41 p.m.