Triple

T1961748
Position Surface form Disambiguated ID Type / Status
Subject Government Legal Department E42601 entity
Predicate abbreviation P43 FINISHED
Object GLD E218833 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: GLD | Statement: [Government Legal Department, abbreviation, GLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLD
Context triple: [Government Legal Department, abbreviation, GLD]
  • A. GLD chosen
    GLD is the abbreviation for the United Kingdom’s Government Legal Department, the principal provider of legal services to central government.
  • B. Gold
    Gold was the codename for one of the five Allied landing beaches used by British forces during the D-Day invasion of Normandy in World War II.
  • C. Gulden
    The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
  • D. Libra
    Libra is a novel by Don DeLillo that offers a fictionalized exploration of the events and conspiracies surrounding the assassination of U.S. President John F. Kennedy.
  • E. Goldman
    Goldman is a surname most famously associated with Emma Goldman, the anarchist political activist and writer.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aae8c48190afae2cf3af2ae4e9 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031ef4e48190af93dfd6f33184d3 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.