Triple

T16106775
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Khormuj
Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
 E1198474 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: Khormuj | Statement: [Bushehr Province, hasCity, Khormuj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khormuj
Context triple: [Bushehr Province, hasCity, Khormuj]
  • A. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • B. Sarbisheh
    Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
  • C. Kushk
    Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
  • D. Garmeh
    Garmeh is a small city in northeastern Iran, located within North Khorasan Province.
  • E. Farashband
    Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
  • 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: Khormuj
Triple: [Bushehr Province, hasCity, Khormuj]
Generated description
Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khormuj
Target entity description: Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
  • A. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • B. Sarbisheh
    Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
  • C. Kushk
    Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
  • D. Garmeh
    Garmeh is a small city in northeastern Iran, located within North Khorasan Province.
  • E. Farashband
    Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeed4e008190b1e8d924b9dc9d37 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_69ffff8ddb04819091d2261acf823d3c completed May 10, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69ffffdb48788190879e733d46393529 completed May 10, 2026, 3:47 a.m.
Created at: April 10, 2026, 5 a.m.