Triple

T1297954
Position Surface form Disambiguated ID Type / Status
Subject Dispute Settlement Body E27695 entity
Predicate abbreviation P43 FINISHED
Object DSB E147895 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: DSB | Statement: [Dispute Settlement Body, abbreviation, DSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSB
Context triple: [Dispute Settlement Body, abbreviation, DSB]
  • A. DSB chosen
    DSB is the commonly used abbreviation for the World Trade Organization’s Dispute Settlement Body, which oversees the resolution of trade disputes between member countries.
  • B. DSO
    DSO is a British military decoration awarded to officers for distinguished service in combat, typically in leadership roles.
  • C. DSO
    DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
  • D. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • E. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f6bc90819094cad5d62550ea19 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb300d3a0819081a9d19ea1fbdfe2 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.