Triple

T15968862
Position Surface form Disambiguated ID Type / Status
Subject Hiddenhausen E387267 entity
Predicate hasSubdivision P747 FINISHED
Object Eilshausen
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
E1240497 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: Eilshausen | Statement: [Hiddenhausen, hasSubdivision, Eilshausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eilshausen
Context triple: [Hiddenhausen, hasSubdivision, Eilshausen]
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Nattenhausen
    Nattenhausen is a small village in the Bavarian district of Günzburg in southern Germany.
  • C. Hildrizhausen
    Hildrizhausen is a small municipality in the German state of Baden-Württemberg, situated near the Schönbuch forest southwest of Stuttgart.
  • D. Aidhausen
    Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
  • E. Warthausen
    Warthausen is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic castle and rural setting.
  • 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: Eilshausen
Triple: [Hiddenhausen, hasSubdivision, Eilshausen]
Generated description
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eilshausen
Target entity description: Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
  • A. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Nattenhausen
    Nattenhausen is a small village in the Bavarian district of Günzburg in southern Germany.
  • C. Hildrizhausen
    Hildrizhausen is a small municipality in the German state of Baden-Württemberg, situated near the Schönbuch forest southwest of Stuttgart.
  • D. Aidhausen
    Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
  • E. Warthausen
    Warthausen is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic castle and rural setting.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c790ec64819084277c156f38a7de completed May 10, 2026, 5:59 p.m.
NEDg Description generation batch_6a00c8f445248190be5f3de196e40f1f completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00cd2bbd9881909f5e216cb6262a72 completed May 10, 2026, 6:23 p.m.
Created at: April 10, 2026, 4:54 a.m.