Triple

T9935409
Position Surface form Disambiguated ID Type / Status
Subject Amel E192746 entity
Predicate hasSettlement P1068 FINISHED
Object Mirfeld
Mirfeld is a small settlement that forms part of the municipality of Amel in eastern Belgium.
E831257 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: Mirfeld | Statement: [Amel, hasSettlement, Mirfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirfeld
Context triple: [Amel, hasSettlement, Mirfeld]
  • A. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • B. Sennfeld
    Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
  • C. Hasselfelde
    Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
  • D. Iffeldorf
    Iffeldorf is a small Bavarian municipality in southern Germany known for its scenic lake district and rural character.
  • E. Mitterfels
    Mitterfels is a market town in the Straubing-Bogen district of Lower Bavaria, Germany, known for its historic castle and scenic location in the Bavarian Forest foothills.
  • 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: Mirfeld
Triple: [Amel, hasSettlement, Mirfeld]
Generated description
Mirfeld is a small settlement that forms part of the municipality of Amel in eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mirfeld
Target entity description: Mirfeld is a small settlement that forms part of the municipality of Amel in eastern Belgium.
  • A. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • B. Sennfeld
    Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
  • C. Hasselfelde
    Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
  • D. Iffeldorf
    Iffeldorf is a small Bavarian municipality in southern Germany known for its scenic lake district and rural character.
  • E. Mitterfels
    Mitterfels is a market town in the Straubing-Bogen district of Lower Bavaria, Germany, known for its historic castle and scenic location in the Bavarian Forest foothills.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ddecfc8190850a098bf4074cc3 completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22cc9284c8190be92710f37877846 completed April 5, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69d22d2997ec81909cb1267ab0066cd5 completed April 5, 2026, 9:36 a.m.
Created at: March 30, 2026, 8:44 p.m.