Triple

T12769323
Position Surface form Disambiguated ID Type / Status
Subject Yas Mall E305203 entity
Predicate hasTenant P3277 FINISHED
Object Tryano
Tryano is a luxury department store in Abu Dhabi known for its curated selection of high-end fashion, beauty, and lifestyle brands.
 E1003295 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: Tryano | Statement: [Yas Mall, hasTenant, Tryano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tryano
Context triple: [Yas Mall, hasTenant, Tryano]
  • A. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • B. Tyro
    Tyro is a figure from Greek mythology, known as the mother of the twins Pelias and Neleus by the god Poseidon.
  • C. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • D. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • E. Trischen
    Trischen is a small, uninhabited German island in the North Sea, known for its protected bird sanctuary and role within the Schleswig-Holstein Wadden Sea National Park.
  • 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: Tryano
Triple: [Yas Mall, hasTenant, Tryano]
Generated description
Tryano is a luxury department store in Abu Dhabi known for its curated selection of high-end fashion, beauty, and lifestyle brands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tryano
Target entity description: Tryano is a luxury department store in Abu Dhabi known for its curated selection of high-end fashion, beauty, and lifestyle brands.
  • A. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • B. Tyro
    Tyro is a figure from Greek mythology, known as the mother of the twins Pelias and Neleus by the god Poseidon.
  • C. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • D. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • E. Trischen
    Trischen is a small, uninhabited German island in the North Sea, known for its protected bird sanctuary and role within the Schleswig-Holstein Wadden Sea National Park.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dc63f48190bb68f9859e99e3b4 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68a92226881909600555332c2c370 completed May 2, 2026, 11:36 p.m.
Created at: April 9, 2026, 5:28 p.m.