Triple

T9005952
Position Surface form Disambiguated ID Type / Status
Subject Kurdistan Province (Iran) E215143 entity
Predicate majorCity P316 FINISHED
Object Qorveh
Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
 E770701 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: Qorveh | Statement: [Kurdistan Province (Iran), majorCity, Qorveh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qorveh
Context triple: [Kurdistan Province (Iran), majorCity, Qorveh]
  • A. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • B. Sar-e Pol
    Sar-e Pol is a provincial capital city in northern Afghanistan known for its strategic location and role as an administrative and commercial center in the region.
  • C. Gereshk
    Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
  • D. Shemshak
    Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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: Qorveh
Triple: [Kurdistan Province (Iran), majorCity, Qorveh]
Generated description
Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qorveh
Target entity description: Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
  • A. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • B. Sar-e Pol
    Sar-e Pol is a provincial capital city in northern Afghanistan known for its strategic location and role as an administrative and commercial center in the region.
  • C. Gereshk
    Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
  • D. Shemshak
    Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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_69cfd0e3f0c88190ae688632be25e5c9 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd17e5850819087fbb60fdc612fd9 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd215204c8190886cc071f100aab6 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:05 p.m.