Triple

T21784756
Position Surface form Disambiguated ID Type / Status
Subject Lummen E537805 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Laar
Laar is a village that forms one of the municipal sections of the municipality of Lummen in the Belgian province of Limburg.
 E1502588 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: Laar | Statement: [Lummen, hasMunicipalSection, Laar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laar
Context triple: [Lummen, hasMunicipalSection, Laar]
  • A. Laar
    Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • B. Laar
    Laar is an Estonian surname most notably borne by Mart Laar, a prominent historian and former Prime Minister of Estonia.
  • C. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • D. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • E. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • 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: Laar
Triple: [Lummen, hasMunicipalSection, Laar]
Generated description
Laar is a village that forms one of the municipal sections of the municipality of Lummen in the Belgian province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laar
Target entity description: Laar is a village that forms one of the municipal sections of the municipality of Lummen in the Belgian province of Limburg.
  • A. Laar
    Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • B. Laar
    Laar is an Estonian surname most notably borne by Mart Laar, a prominent historian and former Prime Minister of Estonia.
  • C. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • D. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • E. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.