Triple

T5792242
Position Surface form Disambiguated ID Type / Status
Subject Persian carpet E128421 entity
Predicate hasProductionRegion P3992 FINISHED
Object Bijar
Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
E551264 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: Bijar | Statement: [Persian carpet, hasProductionRegion, Bijar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bijar
Context triple: [Persian carpet, hasProductionRegion, Bijar]
  • A. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • B. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • C. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • D. Darband
    Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
  • E. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • 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: Bijar
Triple: [Persian carpet, hasProductionRegion, Bijar]
Generated description
Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bijar
Target entity description: Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
  • A. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • B. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • C. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • D. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • E. Darband
    Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a178ccf481909beddf56b66a588d completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a2463cb08190aa5976ebd62c30d6 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2afcef88190a77c8089a1b85393 completed March 23, 2026, 2:17 a.m.
Created at: March 22, 2026, 3:51 p.m.