Triple

T163817
Position Surface form Disambiguated ID Type / Status
Subject United States Department of State E2967 entity
Predicate abbreviation P43 FINISHED
Object STATE E2967 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: STATE | Statement: [United States Department of State, abbreviation, STATE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STATE
Context triple: [United States Department of State, abbreviation, STATE]
  • A. STATE chosen
    STATE is the commonly used abbreviation for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
  • B. Province I
    Province I is an administrative ecclesiastical region of The Episcopal Church in the United States, encompassing several dioceses in the New England area.
  • C. States General
    The States General is the bicameral national parliament of the Netherlands, consisting of the House of Representatives and the Senate.
  • D. Province V
    Province V is an administrative ecclesiastical region of The Episcopal Church in the United States, encompassing multiple dioceses in the Midwestern states.
  • E. Florida
    Florida is a southeastern U.S. state known for its warm climate, extensive beaches, tourism industry centered on attractions like Walt Disney World, and significant cultural and economic influence.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d7343fc08190810b11d205e41d9a completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.