Triple

T17053084
Position Surface form Disambiguated ID Type / Status
Subject Tubbergen E413749 entity
Predicate hasSettlement P1068 FINISHED
Object Mander
Mander is a small rural village in the Dutch province of Overijssel, known for its scenic countryside and traditional agricultural landscape.
 E1248530 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: Mander | Statement: [Tubbergen, hasSettlement, Mander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mander
Context triple: [Tubbergen, hasSettlement, Mander]
  • A. Mander
    The Mander is the longest and most significant river in the Reach, a fertile region of Westeros in George R. R. Martin’s A Song of Ice and Fire series.
  • B. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • C. Maddern
    Maddern is a surname most notably associated with American stage actress Bessie Maddern London.
  • D. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • E. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • 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: Mander
Triple: [Tubbergen, hasSettlement, Mander]
Generated description
Mander is a small rural village in the Dutch province of Overijssel, known for its scenic countryside and traditional agricultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mander
Target entity description: Mander is a small rural village in the Dutch province of Overijssel, known for its scenic countryside and traditional agricultural landscape.
  • A. Mander
    The Mander is the longest and most significant river in the Reach, a fertile region of Westeros in George R. R. Martin’s A Song of Ice and Fire series.
  • B. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • C. Maddern
    Maddern is a surname most notably associated with American stage actress Bessie Maddern London.
  • D. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • E. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • 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.