Triple

T8616922
Position Surface form Disambiguated ID Type / Status
Subject Jan Björklund E204061 entity
Predicate placeOfBirth P1 FINISHED
Object Skene
Skene is a small locality in Västra Götaland County in western Sweden, known as part of the town of Kinna in Mark Municipality.
 E745532 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: Skene | Statement: [Jan Björklund, placeOfBirth, Skene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skene
Context triple: [Jan Björklund, placeOfBirth, Skene]
  • A. Scaniarinken
    Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
  • B. Kista
    Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • C. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Söphchen
    Söphchen is a German affectionate diminutive form of the given name Sophie.
  • 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: Skene
Triple: [Jan Björklund, placeOfBirth, Skene]
Generated description
Skene is a small locality in Västra Götaland County in western Sweden, known as part of the town of Kinna in Mark Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skene
Target entity description: Skene is a small locality in Västra Götaland County in western Sweden, known as part of the town of Kinna in Mark Municipality.
  • A. Scaniarinken
    Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
  • B. Kista
    Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
  • C. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Söphchen
    Söphchen is a German affectionate diminutive form of the given name Sophie.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea923ae148190a973ef8ad6ccac9a completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9d23cc88190b937e89b9aa2bd66 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaaed65a4819083b6a30baa2c0b97 completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.