Triple

T18194349
Position Surface form Disambiguated ID Type / Status
Subject Härryda Municipality E435617 entity
Predicate hasSettlement P1068 FINISHED
Object Hindås
Hindås is a small locality in western Sweden known for its scenic lakeside setting and outdoor recreation opportunities.
 E1311276 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: Hindås | Statement: [Härryda Municipality, hasSettlement, Hindås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hindås
Context triple: [Härryda Municipality, hasSettlement, Hindås]
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Rågsved
    Rågsved is a suburban district in southern Stockholm, Sweden, known for its post-war residential architecture and metro station on the Green line.
  • C. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • D. Lokstedt
    Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
  • E. Essing
    Essing is a small Bavarian municipality known for its picturesque setting along the Altmühl River and historic architecture, including a notable wooden bridge.
  • 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: Hindås
Triple: [Härryda Municipality, hasSettlement, Hindås]
Generated description
Hindås is a small locality in western Sweden known for its scenic lakeside setting and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hindås
Target entity description: Hindås is a small locality in western Sweden known for its scenic lakeside setting and outdoor recreation opportunities.
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Rågsved
    Rågsved is a suburban district in southern Stockholm, Sweden, known for its post-war residential architecture and metro station on the Green line.
  • C. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • D. Lokstedt
    Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
  • E. Essing
    Essing is a small Bavarian municipality known for its picturesque setting along the Altmühl River and historic architecture, including a notable wooden bridge.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d1eb1c81908c20b6d15e9c4e8e completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980b347c819095efe75ae5ceeebb completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0399521adc81908b3496c0168afe5d completed May 12, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a039a1d66c081908ee33c6d503b0dad completed May 12, 2026, 9:22 p.m.
Created at: April 10, 2026, 10:31 a.m.