Triple

T23089460
Position Surface form Disambiguated ID Type / Status
Subject Blomberg (Lippe) E575703 entity
Predicate hasSubdivision P747 FINISHED
Object Maspe
Maspe is a small locality within the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
E1570184 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: Maspe | Statement: [Blomberg (Lippe), hasSubdivision, Maspe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maspe
Context triple: [Blomberg (Lippe), hasSubdivision, Maspe]
  • A. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • B. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • C. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • D. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • E. Mespaul
    Mespaul is a small commune in the Finistère department of Brittany in northwestern France.
  • 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: Maspe
Triple: [Blomberg (Lippe), hasSubdivision, Maspe]
Generated description
Maspe is a small locality within the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maspe
Target entity description: Maspe is a small locality within the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
  • A. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • B. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • C. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • D. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • E. Mespaul
    Mespaul is a small commune in the Finistère department of Brittany in northwestern France.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da8818481908d768a0462f3f837 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b77f7c8190b374a581b776d155 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.