Triple

T3737593
Position Surface form Disambiguated ID Type / Status
Subject Trauen E79621 entity
Predicate locatedNear P294 FINISHED
Object Munster (Örtze)
Munster (Örtze) is a town in Lower Saxony, Germany, known for its large military training areas and proximity to the Lüneburg Heath.
 E384046 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: Munster (Örtze) | Statement: [Trauen, locatedNear, Munster (Örtze)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Munster (Örtze)
Context triple: [Trauen, locatedNear, Munster (Örtze)]
  • A. Munster
    Munster is a small town in the Grand Est region of northeastern France, known for its namesake strong-smelling cheese and picturesque setting in the Vosges mountains.
  • B. Munster
    Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
  • C. Frome
    Frome is a historic market town in Somerset, England, known for its well-preserved architecture, independent shops, and vibrant arts and cultural scene.
  • D. Munxar
    Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
  • E. Skibbereen
    Skibbereen is a town in West Cork, Ireland, known for its rich history, vibrant arts scene, and its role as a center of remembrance for the Great Famine.
  • 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: Munster (Örtze)
Triple: [Trauen, locatedNear, Munster (Örtze)]
Generated description
Munster (Örtze) is a town in Lower Saxony, Germany, known for its large military training areas and proximity to the Lüneburg Heath.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Munster (Örtze)
Target entity description: Munster (Örtze) is a town in Lower Saxony, Germany, known for its large military training areas and proximity to the Lüneburg Heath.
  • A. Munster
    Munster is a small town in the Grand Est region of northeastern France, known for its namesake strong-smelling cheese and picturesque setting in the Vosges mountains.
  • B. Munster
    Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
  • C. Frome
    Frome is a historic market town in Somerset, England, known for its well-preserved architecture, independent shops, and vibrant arts and cultural scene.
  • D. Munxar
    Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
  • E. Skibbereen
    Skibbereen is a town in West Cork, Ireland, known for its rich history, vibrant arts scene, and its role as a center of remembrance for the Great Famine.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3e9248819098d481fe29e1c628 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db20bdfc81909cd27278ff5d9716 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbeb2a2881908bfa05613fafc53c completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc65c88c8190b1215fed2451d45f completed March 14, 2026, 3:56 a.m.
Created at: March 8, 2026, 3:34 p.m.