Triple

T2094754
Position Surface form Disambiguated ID Type / Status
Subject Fejér County E32753 entity
Predicate containsTown P847 FINISHED
Object Aba
Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
 E234844 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: Aba | Statement: [Fejér County, containsTown, Aba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aba
Context triple: [Fejér County, containsTown, Aba]
  • A. Aba
    Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • B. Afula
    Afula is a city in northern Israel often referred to as the "Capital of the Jezreel Valley," serving as a regional commercial and transportation hub.
  • C. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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: Aba
Triple: [Fejér County, containsTown, Aba]
Generated description
Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aba
Target entity description: Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
  • A. Aba
    Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • B. Afula
    Afula is a city in northern Israel often referred to as the "Capital of the Jezreel Valley," serving as a regional commercial and transportation hub.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • E. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba99ddc48190bb2097b56efb7aca completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305cb77c819085c4f3eb2223f749 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f6b7c4819080cb7cb7adc1f6d3 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31871d408190a4ae64372660fa79 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.