Triple

T17441845
Position Surface form Disambiguated ID Type / Status
Subject Cocoon Inn E424673 entity
Predicate regionSpecialty P466 FINISHED
Object Bursa silk
Bursa silk is a high-quality, traditionally woven silk textile from the Turkish city of Bursa, historically renowned as a major center of the silk trade.
 E1269048 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: Bursa silk | Statement: [Cocoon Inn, regionSpecialty, Bursa silk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bursa silk
Context triple: [Cocoon Inn, regionSpecialty, Bursa silk]
  • A. İpek
    İpek is a fictional character who serves as the love interest of Ka in Orhan Pamuk’s novel "Snow."
  • B. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • C. Silk
    Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
  • D. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • E. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • 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: Bursa silk
Triple: [Cocoon Inn, regionSpecialty, Bursa silk]
Generated description
Bursa silk is a high-quality, traditionally woven silk textile from the Turkish city of Bursa, historically renowned as a major center of the silk trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bursa silk
Target entity description: Bursa silk is a high-quality, traditionally woven silk textile from the Turkish city of Bursa, historically renowned as a major center of the silk trade.
  • A. İpek
    İpek is a fictional character who serves as the love interest of Ka in Orhan Pamuk’s novel "Snow."
  • B. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • C. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • D. Silk
    Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
  • E. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff82bbc819095dd0621137da809 completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff63d688190b8fa63c8edafc01c completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0a265348190a884a58f3caf54df completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1b0553c8190bb76969fe95154ff completed May 11, 2026, 10:38 a.m.
Created at: April 10, 2026, 5:46 a.m.