Triple

T678170
Position Surface form Disambiguated ID Type / Status
Subject Nijmegen E13123 entity
Predicate borderedBy P224 FINISHED
Object Heumen
Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
 E84055 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: Heumen | Statement: [Nijmegen, borderedBy, Heumen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heumen
Context triple: [Nijmegen, borderedBy, Heumen]
  • A. Heezen
    Heezen is a surname most notably associated with American geologist and oceanographer Bruce C. Heezen, a pioneer in mapping the ocean floor.
  • B. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • C. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • D. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • E. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • 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: Heumen
Triple: [Nijmegen, borderedBy, Heumen]
Generated description
Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heumen
Target entity description: Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
  • A. Heezen
    Heezen is a surname most notably associated with American geologist and oceanographer Bruce C. Heezen, a pioneer in mapping the ocean floor.
  • B. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • C. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • D. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • E. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc9f5f7c8190a766c6b545d1abd8 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e6b3283c8190ad75e86ebd413127 completed March 2, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69a5fd670f0c8190a577b7ebf8120368 completed March 2, 2026, 9:13 p.m.
Created at: March 1, 2026, 7:36 p.m.