Triple

T3461868
Position Surface form Disambiguated ID Type / Status
Subject Umm Al Quwain E73042 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object UAQ
UAQ is the vehicle registration code used on license plates issued in the emirate of Umm Al Quwain in the United Arab Emirates.
E359303 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: UAQ | Statement: [Umm Al Quwain, vehicleRegistrationCode, UAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAQ
Context triple: [Umm Al Quwain, vehicleRegistrationCode, UAQ]
  • A. UAM
    UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
  • B. UAM
    UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
  • C. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • 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: UAQ
Triple: [Umm Al Quwain, vehicleRegistrationCode, UAQ]
Generated description
UAQ is the vehicle registration code used on license plates issued in the emirate of Umm Al Quwain in the United Arab Emirates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UAQ
Target entity description: UAQ is the vehicle registration code used on license plates issued in the emirate of Umm Al Quwain in the United Arab Emirates.
  • A. UAM
    UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
  • B. UAM
    UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
  • C. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae867c4819091c76e63e44290b4 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3611ff950819081b49f5c75aa6e4d completed March 13, 2026, 12:58 a.m.
NEDg Description generation batch_69b3629f2e54819091b38de147996782 completed March 13, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69b3630f5628819080ab239790cf4f4d completed March 13, 2026, 1:06 a.m.
Created at: March 8, 2026, 3:17 p.m.