Triple

T23215874
Position Surface form Disambiguated ID Type / Status
Subject Troisdorf E580736 entity
Predicate hasDistrict P459 FINISHED
Object Müllekoven
Müllekoven is a district of the German city of Troisdorf, located in the state of North Rhine-Westphalia.
 E1573158 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: Müllekoven | Statement: [Troisdorf, hasDistrict, Müllekoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Müllekoven
Context triple: [Troisdorf, hasDistrict, Müllekoven]
  • A. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • B. Maléku
    Maléku are an Indigenous people of northern Costa Rica known for their distinct language, rich artistic traditions, and efforts to preserve their ancestral culture and rainforest homeland.
  • C. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • D. Meljine
    Meljine is a coastal village in Montenegro known for its beaches, marina, and proximity to the historic town of Herceg Novi on the Bay of Kotor.
  • E. Pelmadulla
    Pelmadulla is a town in southwestern Sri Lanka known for its gem mining and agricultural activities within the Sabaragamuwa region.
  • 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: Müllekoven
Triple: [Troisdorf, hasDistrict, Müllekoven]
Generated description
Müllekoven is a district of the German city of Troisdorf, located in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Müllekoven
Target entity description: Müllekoven is a district of the German city of Troisdorf, located in the state of North Rhine-Westphalia.
  • A. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • B. Maléku
    Maléku are an Indigenous people of northern Costa Rica known for their distinct language, rich artistic traditions, and efforts to preserve their ancestral culture and rainforest homeland.
  • C. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • D. Meljine
    Meljine is a coastal village in Montenegro known for its beaches, marina, and proximity to the historic town of Herceg Novi on the Bay of Kotor.
  • E. Pelmadulla
    Pelmadulla is a town in southwestern Sri Lanka known for its gem mining and agricultural activities within the Sabaragamuwa region.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31f385a881908283a8b079c4128a completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.