Triple

T17052987
Position Surface form Disambiguated ID Type / Status
Subject Dinkelland E413747 entity
Predicate containsSettlement P847 FINISHED
Object Bruinehaar
Bruinehaar is a small village in the Dutch province of Overijssel, located near the German border.
 E1248515 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: Bruinehaar | Statement: [Dinkelland, containsSettlement, Bruinehaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruinehaar
Context triple: [Dinkelland, containsSettlement, Bruinehaar]
  • A. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • B. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • C. Albine
    Albine is a central character in Émile Zola’s novel *La Faute de l’Abbé Mouret*, symbolizing natural innocence and forbidden love in contrast to the priest’s religious devotion.
  • D. Branca
    Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
  • E. Branca
    Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
  • 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: Bruinehaar
Triple: [Dinkelland, containsSettlement, Bruinehaar]
Generated description
Bruinehaar is a small village in the Dutch province of Overijssel, located near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruinehaar
Target entity description: Bruinehaar is a small village in the Dutch province of Overijssel, located near the German border.
  • A. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • B. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • C. Albine
    Albine is a central character in Émile Zola’s novel *La Faute de l’Abbé Mouret*, symbolizing natural innocence and forbidden love in contrast to the priest’s religious devotion.
  • D. Branca
    Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
  • E. Branca
    Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012585a1548190a112f55e2d84ccac completed May 11, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0126536c348190b9b2eadb4969f8c2 completed May 11, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:34 a.m.