Triple

T10298873
Position Surface form Disambiguated ID Type / Status
Subject Lorestan Province E241570 entity
Predicate containsCity P294 FINISHED
Object Azna
Azna is a small city in western Iran known for its location in the mountainous Lorestan region and its role as a local administrative and commercial center.
E856304 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: Azna | Statement: [Lorestan Province, containsCity, Azna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azna
Context triple: [Lorestan Province, containsCity, Azna]
  • A. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • B. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • C. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • D. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • E. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • 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: Azna
Triple: [Lorestan Province, containsCity, Azna]
Generated description
Azna is a small city in western Iran known for its location in the mountainous Lorestan region and its role as a local administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Azna
Target entity description: Azna is a small city in western Iran known for its location in the mountainous Lorestan region and its role as a local administrative and commercial center.
  • A. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • B. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • C. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • D. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • E. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d35d5908190bb87100c81f2948a completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:44 a.m.