Triple

T2266620
Position Surface form Disambiguated ID Type / Status
Subject Sidcup E50159 entity
Predicate hasPostcodeArea P920 FINISHED
Object DA E237398 NE 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: DA | Statement: [Sidcup, hasPostcodeArea, DA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DA
Context triple: [Sidcup, hasPostcodeArea, DA]
  • A. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • B. DA chosen
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • D. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • E. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.