Triple

T1435806
Position Surface form Disambiguated ID Type / Status
Subject Ahlden E30556 entity
Predicate partOf P40 FINISHED
Object Samtgemeinde Ahlden
Samtgemeinde Ahlden is a collective municipality in Lower Saxony, Germany, comprising Ahlden and several surrounding villages for shared local administration.
E163586 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: Samtgemeinde Ahlden | Statement: [Ahlden, partOf, Samtgemeinde Ahlden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samtgemeinde Ahlden
Context triple: [Ahlden, partOf, Samtgemeinde Ahlden]
  • A. Samtgemeinde Artland
    Samtgemeinde Artland is a collective municipality in Lower Saxony, Germany, comprising several member communities administered together from the town of Quakenbrück.
  • B. Alfeld
    Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
  • C. County of Bentheim
    The County of Bentheim is a historic territorial county in northwestern Germany, centered around the town of Bad Bentheim near the Dutch border.
  • D. Walsrode
    Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
  • E. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • 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: Samtgemeinde Ahlden
Triple: [Ahlden, partOf, Samtgemeinde Ahlden]
Generated description
Samtgemeinde Ahlden is a collective municipality in Lower Saxony, Germany, comprising Ahlden and several surrounding villages for shared local administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samtgemeinde Ahlden
Target entity description: Samtgemeinde Ahlden is a collective municipality in Lower Saxony, Germany, comprising Ahlden and several surrounding villages for shared local administration.
  • A. Samtgemeinde Artland
    Samtgemeinde Artland is a collective municipality in Lower Saxony, Germany, comprising several member communities administered together from the town of Quakenbrück.
  • B. Alfeld
    Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
  • C. County of Bentheim
    The County of Bentheim is a historic territorial county in northwestern Germany, centered around the town of Bad Bentheim near the Dutch border.
  • D. Walsrode
    Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
  • E. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c50250b88190a0fcf3e0cbba0b1a completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0259651c8190890e45c1786a9a50 completed March 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69ad03018aa4819090020ba89a11d0cd completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.