Triple

T21785108
Position Surface form Disambiguated ID Type / Status
Subject Heers E537814 entity
Predicate borderedBy P224 FINISHED
Object Oreye
Oreye is a small municipality in the province of Liège in eastern Belgium.
 E1502636 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: Oreye | Statement: [Heers, borderedBy, Oreye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oreye
Context triple: [Heers, borderedBy, Oreye]
  • A. Isiolo
    Isiolo is a town in central Kenya that serves as a key transport and commercial hub linking the country’s northern regions with the rest of the nation.
  • B. Njoro
    Njoro is a town in Kenya’s Rift Valley region known for its agricultural activities and as the home of Egerton University.
  • C. Kamiti
    Kamiti is the impoverished yet cunning protagonist of Ngũgĩ wa Thiong’o’s satirical novel "Wizard of the Crow," who becomes a reluctant wizard and political trickster in a fictional African dictatorship.
  • D. Nyambura
    Nyambura is a central character in Ngũgĩ wa Thiong’o’s novel *The River Between*, known as a Christian-raised young woman whose forbidden love challenges the cultural and religious divisions in her Gikuyu community.
  • E. Nanyuki
    Nanyuki is a Kenyan town on the equator that serves as a popular gateway to Mount Kenya and the surrounding highland wilderness.
  • 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: Oreye
Triple: [Heers, borderedBy, Oreye]
Generated description
Oreye is a small municipality in the province of Liège in eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oreye
Target entity description: Oreye is a small municipality in the province of Liège in eastern Belgium.
  • A. Isiolo
    Isiolo is a town in central Kenya that serves as a key transport and commercial hub linking the country’s northern regions with the rest of the nation.
  • B. Njoro
    Njoro is a town in Kenya’s Rift Valley region known for its agricultural activities and as the home of Egerton University.
  • C. Kamiti
    Kamiti is the impoverished yet cunning protagonist of Ngũgĩ wa Thiong’o’s satirical novel "Wizard of the Crow," who becomes a reluctant wizard and political trickster in a fictional African dictatorship.
  • D. Nyambura
    Nyambura is a central character in Ngũgĩ wa Thiong’o’s novel *The River Between*, known as a Christian-raised young woman whose forbidden love challenges the cultural and religious divisions in her Gikuyu community.
  • E. Nanyuki
    Nanyuki is a Kenyan town on the equator that serves as a popular gateway to Mount Kenya and the surrounding highland wilderness.
  • 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.