Triple

T18184815
Position Surface form Disambiguated ID Type / Status
Subject Faaborg-Midtfyn Municipality E435383 entity
Predicate containsSettlement P847 FINISHED
Object Kværndrup
Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
E1311393 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: Kværndrup | Statement: [Faaborg-Midtfyn Municipality, containsSettlement, Kværndrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kværndrup
Context triple: [Faaborg-Midtfyn Municipality, containsSettlement, Kværndrup]
  • A. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • B. Knudstrup
    Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
  • C. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • D. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • E. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • 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: Kværndrup
Triple: [Faaborg-Midtfyn Municipality, containsSettlement, Kværndrup]
Generated description
Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kværndrup
Target entity description: Kværndrup is a small Danish village on the island of Funen, known for its proximity to the historic Egeskov Castle.
  • A. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • B. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • C. Knudstrup
    Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
  • D. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • E. Tranekær
    Tranekær is a historic village on the Danish island of Langeland, known for its castle and scenic rural surroundings.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0398032e3081909455845718c73b78 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a03990a2bec8190b5d6a472bc9bb3fb completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399c98a88819090e579324d9423e5 completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.