Triple

T13614437
Position Surface form Disambiguated ID Type / Status
Subject Bygland E325274 entity
Predicate containsSettlement P847 FINISHED
Object Langeid
Langeid is a small village in Bygland municipality in Agder county, southern Norway.
E1051192 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: Langeid | Statement: [Bygland, containsSettlement, Langeid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langeid
Context triple: [Bygland, containsSettlement, Langeid]
  • A. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • B. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • C. Loinang
    Loinang is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • D. Langerei
    Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
  • E. Lange Poten
    Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
  • 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: Langeid
Triple: [Bygland, containsSettlement, Langeid]
Generated description
Langeid is a small village in Bygland municipality in Agder county, southern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langeid
Target entity description: Langeid is a small village in Bygland municipality in Agder county, southern Norway.
  • A. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • B. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • C. Loinang
    Loinang is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • D. Langerei
    Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
  • E. Lange Poten
    Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9cbc388190972e949324144d2f completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78058d4c88190be75e0a38cdc20da completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:50 p.m.