Triple

T19978414
Position Surface form Disambiguated ID Type / Status
Subject DoDDS E493750 entity
Predicate hasSubOrganization P747 FINISHED
Object DoDDS-Europe NE NERFINISHED

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: DoDDS-Europe | Statement: [DoDDS, hasSubOrganization, DoDDS-Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DoDDS-Europe
Context triple: [DoDDS, hasSubOrganization, DoDDS-Europe]
  • A. DoDDS chosen
    DoDDS is a school system operated by the U.S. Department of Defense to provide education for the children of military and civilian personnel stationed overseas.
  • B. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • C. DDU
    DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
  • D. EFDD
    EFDD is a former eurosceptic political group in the European Parliament that brought together parties critical of European Union integration and supportive of national sovereignty and direct democracy.
  • E. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d11108481908241a2a96a795a7d completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.