Triple

T21784625
Position Surface form Disambiguated ID Type / Status
Subject Maasmechelen E537802 entity
Predicate hasSubdivision P747 FINISHED
Object Lanklaar
Lanklaar is a village in the Belgian province of Limburg that forms part of the municipality of Maasmechelen.
E1502569 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: Lanklaar | Statement: [Maasmechelen, hasSubdivision, Lanklaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanklaar
Context triple: [Maasmechelen, hasSubdivision, Lanklaar]
  • A. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • B. Lykling
    Lykling is an island in western Norway known for its coastal landscape and location within Bømlo Municipality in Vestland county.
  • C. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • D. Larkollen
    Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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: Lanklaar
Triple: [Maasmechelen, hasSubdivision, Lanklaar]
Generated description
Lanklaar is a village in the Belgian province of Limburg that forms part of the municipality of Maasmechelen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lanklaar
Target entity description: Lanklaar is a village in the Belgian province of Limburg that forms part of the municipality of Maasmechelen.
  • A. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • B. Lykling
    Lykling is an island in western Norway known for its coastal landscape and location within Bømlo Municipality in Vestland county.
  • C. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • D. Larkollen
    Larkollen is a coastal village in southeastern Norway known for its beaches, holiday homes, and maritime recreation.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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_69f046303d54819096b3fab4ab5678e6 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.