Triple

T22740889
Position Surface form Disambiguated ID Type / Status
Subject Haderslev Municipality E562407 entity
Predicate hasPart P35 FINISHED
Object Gram Å
Gram Å is a river in southern Denmark known for flowing through the town of Gram and the surrounding landscapes of Haderslev Municipality.
 E1551959 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: Gram Å | Statement: [Haderslev Municipality, hasPart, Gram Å]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gram Å
Context triple: [Haderslev Municipality, hasPart, Gram Å]
  • A. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • B. Erling
    Erling is a masculine given name of Scandinavian origin, commonly used in Norway and other Nordic countries.
  • C. Stig-Erland
    Stig-Erland is the given first name of Swedish journalist and bestselling crime novelist Stieg Larsson, creator of the Millennium series.
  • D. Geir
    Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
  • E. Eskil
    Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
  • 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: Gram Å
Triple: [Haderslev Municipality, hasPart, Gram Å]
Generated description
Gram Å is a river in southern Denmark known for flowing through the town of Gram and the surrounding landscapes of Haderslev Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gram Å
Target entity description: Gram Å is a river in southern Denmark known for flowing through the town of Gram and the surrounding landscapes of Haderslev Municipality.
  • A. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • B. Erling
    Erling is a masculine given name of Scandinavian origin, commonly used in Norway and other Nordic countries.
  • C. Stig-Erland
    Stig-Erland is the given first name of Swedish journalist and bestselling crime novelist Stieg Larsson, creator of the Millennium series.
  • D. Geir
    Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
  • E. Eskil
    Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17972fde8819086094cea289a2af8 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd07e9481909ff8057024ea2d94 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b92e5412c81909968a22571229283 completed May 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b93668f0c8190b86094e42fa89c1d completed May 18, 2026, 10:32 p.m.
Created at: April 17, 2026, 3:23 p.m.