Triple

T15438038
Position Surface form Disambiguated ID Type / Status
Subject Meschede E369819 entity
Predicate hasSubdivision P747 FINISHED
Object Remblinghausen
Remblinghausen is a village and district of the town of Meschede in the Hochsauerland region of North Rhine-Westphalia, Germany.
E1205378 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: Remblinghausen | Statement: [Meschede, hasSubdivision, Remblinghausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remblinghausen
Context triple: [Meschede, hasSubdivision, Remblinghausen]
  • A. Hiddinghausen
    Hiddinghausen is a district of the town of Sprockhövel in North Rhine-Westphalia, Germany.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Babenhausen
    Babenhausen is a small town in the German state of Hesse, known for its historic old town and location southeast of Frankfurt am Main.
  • D. Babenhausen
    Babenhausen is a market town in the Unterallgäu district of Bavaria, Germany, known for its historic center and role as a local administrative and service hub.
  • E. Heckinghausen
    Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
  • 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: Remblinghausen
Triple: [Meschede, hasSubdivision, Remblinghausen]
Generated description
Remblinghausen is a village and district of the town of Meschede in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Remblinghausen
Target entity description: Remblinghausen is a village and district of the town of Meschede in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • A. Hiddinghausen
    Hiddinghausen is a district of the town of Sprockhövel in North Rhine-Westphalia, Germany.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Babenhausen
    Babenhausen is a small town in the German state of Hesse, known for its historic old town and location southeast of Frankfurt am Main.
  • D. Babenhausen
    Babenhausen is a market town in the Unterallgäu district of Bavaria, Germany, known for its historic center and role as a local administrative and service hub.
  • E. Heckinghausen
    Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7d79348190aba1889a7eb3d7c8 completed May 10, 2026, 6:02 a.m.
NEDg Description generation batch_6a0020ffeca88190bd983923f2cc1522 completed May 10, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a00219a089c81909bb4f442cb26930d completed May 10, 2026, 6:11 a.m.
Created at: April 10, 2026, 3:21 a.m.