Triple

T11039145
Position Surface form Disambiguated ID Type / Status
Subject Småland E260962 entity
Predicate hasCity P316 FINISHED
Object Vetlanda
Vetlanda is a small town in southern Sweden known for its industrial heritage and location in the forested province of Småland.
 E900786 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: Vetlanda | Statement: [Småland, hasCity, Vetlanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vetlanda
Context triple: [Småland, hasCity, Vetlanda]
  • A. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • B. Fidjeland
    Fidjeland is a small village in Sirdal municipality in Agder county, Norway, known for its mountainous surroundings and ski tourism.
  • C. Okstindan
    Okstindan is a mountain range in northern Norway known for its rugged peaks and glaciers, including the prominent summit Oksskolten.
  • D. Norway
    Norway is a Nordic country in Northern Europe known for its high standard of living, extensive welfare state, and dramatic natural landscapes of fjords, mountains, and coastline.
  • E. Vaalimaa
    Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
  • 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: Vetlanda
Triple: [Småland, hasCity, Vetlanda]
Generated description
Vetlanda is a small town in southern Sweden known for its industrial heritage and location in the forested province of Småland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vetlanda
Target entity description: Vetlanda is a small town in southern Sweden known for its industrial heritage and location in the forested province of Småland.
  • A. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • B. Fidjeland
    Fidjeland is a small village in Sirdal municipality in Agder county, Norway, known for its mountainous surroundings and ski tourism.
  • C. Okstindan
    Okstindan is a mountain range in northern Norway known for its rugged peaks and glaciers, including the prominent summit Oksskolten.
  • D. Norway
    Norway is a Nordic country in Northern Europe known for its high standard of living, extensive welfare state, and dramatic natural landscapes of fjords, mountains, and coastline.
  • E. Vaalimaa
    Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.