Triple

T9005950
Position Surface form Disambiguated ID Type / Status
Subject Kurdistan Province (Iran) E215143 entity
Predicate majorCity P316 FINISHED
Object Baneh
Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
 E774236 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: Baneh | Statement: [Kurdistan Province (Iran), majorCity, Baneh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baneh
Context triple: [Kurdistan Province (Iran), majorCity, Baneh]
  • A. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Bansha
    Bansha is a small rural village in County Tipperary, Ireland, known for its scenic setting near the Galtee Mountains and its traditional Irish community character.
  • C. Banha
    Banha is a major city in Egypt’s Nile Delta region, known as an agricultural and commercial hub within Qalyubia Governorate.
  • D. Kamarata
    Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
  • E. Kambera
    Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
  • 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: Baneh
Triple: [Kurdistan Province (Iran), majorCity, Baneh]
Generated description
Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baneh
Target entity description: Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
  • A. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Bansha
    Bansha is a small rural village in County Tipperary, Ireland, known for its scenic setting near the Galtee Mountains and its traditional Irish community character.
  • C. Banha
    Banha is a major city in Egypt’s Nile Delta region, known as an agricultural and commercial hub within Qalyubia Governorate.
  • D. Kamarata
    Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
  • E. Kambera
    Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bc6e208190b0c01e3761c04799 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
NEDg Description generation batch_69cfedb37584819083038f1498b00886 completed April 3, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfee063adc8190a1f2bd447f137e56 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:05 p.m.