Triple

T7251508
Position Surface form Disambiguated ID Type / Status
Subject District of Vechta E157611 entity
Predicate hasMunicipality P847 FINISHED
Object Damme
Damme is a town and municipality in the District of Vechta in Lower Saxony, Germany, known for its rural character and regional cultural traditions.
 E651232 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: Damme | Statement: [District of Vechta, hasMunicipality, Damme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Damme
Context triple: [District of Vechta, hasMunicipality, Damme]
  • A. Rijnmond
    Rijnmond is a region in the western Netherlands centered around the port city of Rotterdam and the Rhine–Meuse river delta.
  • B. Dieuze
    Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
  • C. Drecht
    Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
  • D. Kanaal van ’s-Hertogenbosch
    Kanaal van ’s-Hertogenbosch is a historic navigation and drainage canal in the Dutch city of ’s-Hertogenbosch, built to improve water management and inland shipping connections.
  • E. Haringvlietdam
    Haringvlietdam is a major Dutch storm surge barrier and dam complex that regulates water flow and protects the southwestern Netherlands from flooding as part of the Delta Works.
  • 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: Damme
Triple: [District of Vechta, hasMunicipality, Damme]
Generated description
Damme is a town and municipality in the District of Vechta in Lower Saxony, Germany, known for its rural character and regional cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Damme
Target entity description: Damme is a town and municipality in the District of Vechta in Lower Saxony, Germany, known for its rural character and regional cultural traditions.
  • A. Rijnmond
    Rijnmond is a region in the western Netherlands centered around the port city of Rotterdam and the Rhine–Meuse river delta.
  • B. Dieuze
    Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
  • C. Drecht
    Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
  • D. Kanaal van ’s-Hertogenbosch
    Kanaal van ’s-Hertogenbosch is a historic navigation and drainage canal in the Dutch city of ’s-Hertogenbosch, built to improve water management and inland shipping connections.
  • E. Haringvlietdam
    Haringvlietdam is a major Dutch storm surge barrier and dam complex that regulates water flow and protects the southwestern Netherlands from flooding as part of the Delta Works.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a7502081909d2a97a60cc445ae completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d4690adc81909abbfb7a756f453d completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d517a7108190893878cbef7d1a3a completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:56 p.m.