Triple

T21784651
Position Surface form Disambiguated ID Type / Status
Subject Lanaken E537803 entity
Predicate contains P35 FINISHED
Object Gellik
Gellik is a village in the Belgian municipality of Lanaken, located in the province of Limburg.
 E1502574 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: Gellik | Statement: [Lanaken, contains, Gellik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gellik
Context triple: [Lanaken, contains, Gellik]
  • A. Gelemiş
    Gelemiş is a small village in southwestern Turkey that serves as the modern settlement closest to the ancient Lycian city and beach of Patara.
  • B. Geyve
    Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
  • C. Gürün
    Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
  • D. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • E. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • 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: Gellik
Triple: [Lanaken, contains, Gellik]
Generated description
Gellik is a village in the Belgian municipality of Lanaken, located in the province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gellik
Target entity description: Gellik is a village in the Belgian municipality of Lanaken, located in the province of Limburg.
  • A. Gelemiş
    Gelemiş is a small village in southwestern Turkey that serves as the modern settlement closest to the ancient Lycian city and beach of Patara.
  • B. Geyve
    Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
  • C. Gürün
    Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
  • D. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • E. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • 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.