Triple

T9641633
Position Surface form Disambiguated ID Type / Status
Subject Fürstenfeldbruck district E233084 entity
Predicate contains P35 FINISHED
Object Moorenweis
Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
 E811219 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: Moorenweis | Statement: [Fürstenfeldbruck district, contains, Moorenweis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moorenweis
Context triple: [Fürstenfeldbruck district, contains, Moorenweis]
  • A. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern 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: Moorenweis
Triple: [Fürstenfeldbruck district, contains, Moorenweis]
Generated description
Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moorenweis
Target entity description: Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • A. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182fe6854819097b6fe60926c2a48 completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d1835c916081908e3e1bb1e5499424 completed April 4, 2026, 9:32 p.m.
Created at: March 30, 2026, 8:12 p.m.