Triple

T5176647
Position Surface form Disambiguated ID Type / Status
Subject Tvärbanan E116814 entity
Predicate hasTerminus P388 FINISHED
Object Helenelund
Helenelund is a district and commuter rail station area in Sollentuna, north of central Stockholm, Sweden.
 E500447 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: Helenelund | Statement: [Tvärbanan, hasTerminus, Helenelund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helenelund
Context triple: [Tvärbanan, hasTerminus, Helenelund]
  • A. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • B. Herleva
    Herleva was the mother of William the Conqueror and a woman of modest Norman origins who became historically significant through her son’s rise to the English throne.
  • C. Bruttenholm
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • D. Hodnet
    Hodnet is a rural village in Shropshire, England, known for its historic parish church, traditional architecture, and proximity to country estates and parkland.
  • E. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • 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: Helenelund
Triple: [Tvärbanan, hasTerminus, Helenelund]
Generated description
Helenelund is a district and commuter rail station area in Sollentuna, north of central Stockholm, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helenelund
Target entity description: Helenelund is a district and commuter rail station area in Sollentuna, north of central Stockholm, Sweden.
  • A. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • B. Herleva
    Herleva was the mother of William the Conqueror and a woman of modest Norman origins who became historically significant through her son’s rise to the English throne.
  • C. Bruttenholm
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • D. Hodnet
    Hodnet is a rural village in Shropshire, England, known for its historic parish church, traditional architecture, and proximity to country estates and parkland.
  • E. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94e269481908118fd1af1fc6a44 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedd266d00819090d857ca08b411c7 completed March 21, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69bedda0b8dc81909942627e735023e3 completed March 21, 2026, 6:04 p.m.
Created at: March 20, 2026, 1:45 p.m.