Triple

T10619590
Position Surface form Disambiguated ID Type / Status
Subject Wanze E295672 entity
Predicate hasBorderWith P224 FINISHED
Object Engis
Engis is a municipality in the province of Liège in Wallonia, Belgium, situated along the Meuse River.
 E875513 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: Engis | Statement: [Wanze, hasBorderWith, Engis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engis
Context triple: [Wanze, hasBorderWith, Engis]
  • A. Ingiloys
    Ingiloys are a small indigenous Georgian-speaking ethnic group traditionally inhabiting the Zakatala region of present-day Azerbaijan, known for their unique blend of Georgian and Azerbaijani cultural and religious influences.
  • B. Engstlige
    Engstlige is a river in the Bernese Oberland region of Switzerland, known for flowing through the alpine resort area around Adelboden.
  • C. Ruen
    Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
  • D. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • E. Änglarna
    Änglarna is the main organized supporters' association of Swedish football club IFK Göteborg, known for passionately backing the team at matches and events.
  • 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: Engis
Triple: [Wanze, hasBorderWith, Engis]
Generated description
Engis is a municipality in the province of Liège in Wallonia, Belgium, situated along the Meuse River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engis
Target entity description: Engis is a municipality in the province of Liège in Wallonia, Belgium, situated along the Meuse River.
  • A. Ingiloys
    Ingiloys are a small indigenous Georgian-speaking ethnic group traditionally inhabiting the Zakatala region of present-day Azerbaijan, known for their unique blend of Georgian and Azerbaijani cultural and religious influences.
  • B. Engstlige
    Engstlige is a river in the Bernese Oberland region of Switzerland, known for flowing through the alpine resort area around Adelboden.
  • C. Ruen
    Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
  • D. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • E. Änglarna
    Änglarna is the main organized supporters' association of Swedish football club IFK Göteborg, known for passionately backing the team at matches and events.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6fc47c8190b77b61a7fd223d65 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:21 p.m.