Triple

T21476548
Position Surface form Disambiguated ID Type / Status
Subject Longside E529875 entity
Predicate postcodeArea P920 FINISHED
Object AB NE NERFINISHED

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: AB | Statement: [Longside, postcodeArea, AB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AB
Context triple: [Longside, postcodeArea, AB]
  • A. AB chosen
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • B. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • C. AB
    AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
  • D. AB
    AB is the popular nickname of South African cricket legend AB de Villiers, renowned for his explosive batting and 360-degree stroke play.
  • E. AB
    AB is the vehicle registration code used on license plates for motor vehicles registered in the Yogyakarta region of Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea187a3c8190b3f33bd760dc1f54 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.