Triple

T10985925
Position Surface form Disambiguated ID Type / Status
Subject Herat Province E259629 entity
Predicate hasMajorCity P316 FINISHED
Object Guzara
Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
E899332 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: Guzara | Statement: [Herat Province, hasMajorCity, Guzara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guzara
Context triple: [Herat Province, hasMajorCity, Guzara]
  • A. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • B. Maruim
    Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
  • C. Uashat
    Uashat is an Innu First Nations reserve community located near Sept-Îles in Quebec, Canada.
  • D. Assagao
    Assagao is a picturesque village in North Goa, India, known for its leafy lanes, restored Portuguese-era homes, and growing reputation as a tranquil, upscale residential and boutique tourism hub.
  • E. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • 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: Guzara
Triple: [Herat Province, hasMajorCity, Guzara]
Generated description
Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guzara
Target entity description: Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
  • A. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • B. Maruim
    Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
  • C. Uashat
    Uashat is an Innu First Nations reserve community located near Sept-Îles in Quebec, Canada.
  • D. Assagao
    Assagao is a picturesque village in North Goa, India, known for its leafy lanes, restored Portuguese-era homes, and growing reputation as a tranquil, upscale residential and boutique tourism hub.
  • E. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374526d54819085a0fb0d62f7a581 completed April 18, 2026, 12:08 p.m.
NEDg Description generation batch_69e378dcc92c8190952d4acfee2a309c completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37be75a588190abb9569ef1e87279 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:24 p.m.