Triple

T5169403
Position Surface form Disambiguated ID Type / Status
Subject Dubai Campus E116637 entity
Predicate specialCharacteristic P662 FINISHED
Object international branch of a UK university in Dubai LITERAL FINISHED

How this triple was built (2 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: international branch of a UK university in Dubai | Statement: [Dubai Campus, specialCharacteristic, international branch of a UK university in Dubai]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specialCharacteristic
Context triple: [Dubai Campus, specialCharacteristic, international branch of a UK university in Dubai]
  • A. specialFeature
    Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
  • B. specialAppearance
    Indicates that an entity makes a notable or exceptional appearance distinct from its usual or regular presence.
  • C. specialValue
    Indicates that an entity possesses a distinguished or exceptional value compared to typical or default values in the given context.
  • D. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • E. describesCharacteristicOf
    Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
  • F. None of above.

Provenance (3 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794dd9988190922e138f2a9a3c62 completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.