Triple

T15587049
Position Surface form Disambiguated ID Type / Status
Subject DFAE E374648 entity
Predicate abbreviation P43 FINISHED
Object DFAE E374648 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: DFAE | Statement: [DFAE, abbreviation, DFAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFAE
Context triple: [DFAE, abbreviation, DFAE]
  • A. DFAE chosen
    DFAE is the French abbreviation for Switzerland’s Federal Department of Foreign Affairs, the government ministry responsible for the country’s foreign policy and international relations.
  • B. DFAE (rm)
    DFAE (rm) is the Romansh-language abbreviation for Switzerland’s Federal Department of Foreign Affairs, the ministry responsible for the country’s foreign policy and international relations.
  • C. DFA
    DFA is the commonly used acronym for the Department of Foreign Affairs of the Philippines, the government agency responsible for managing the country’s foreign relations and diplomacy.
  • D. DFA
    DFA is the Mississippi state government agency responsible for managing the state's financial, administrative, and support services operations.
  • E. DFA
    DFA is an online advertising management and ad-serving platform originally developed by DoubleClick and later integrated into Google's marketing and ad technology stack.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c5baac819099d53896f6a35d94 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:11 a.m.