Triple

T7464360
Position Surface form Disambiguated ID Type / Status
Subject Leer (district) E176335 entity
Predicate hasMunicipality P847 FINISHED
Object Hesel
Hesel is a small municipality in the district of Leer in Lower Saxony, northwestern Germany.
E666411 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: Hesel | Statement: [Leer (district), hasMunicipality, Hesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hesel
Context triple: [Leer (district), hasMunicipality, Hesel]
  • A. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • B. Wainhill
    Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Hazlerigg
    Hazlerigg is a village in Tyne and Wear, England, situated near Newcastle upon Tyne and historically associated with coal mining.
  • 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: Hesel
Triple: [Leer (district), hasMunicipality, Hesel]
Generated description
Hesel is a small municipality in the district of Leer in Lower Saxony, northwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hesel
Target entity description: Hesel is a small municipality in the district of Leer in Lower Saxony, northwestern Germany.
  • A. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • B. Wainhill
    Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Hazlerigg
    Hazlerigg is a village in Tyne and Wear, England, situated near Newcastle upon Tyne and historically associated with coal mining.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346adb3081908f049d8dcd623215 completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c835904be081908fa9317eb5568d82 completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 3:40 p.m.