Triple

T10667127
Position Surface form Disambiguated ID Type / Status
Subject DG JUST E251383 entity
Predicate usesAbbreviation P43 FINISHED
Object DG JUST E251383 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: DG JUST | Statement: [DG JUST, usesAbbreviation, DG JUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG JUST
Context triple: [DG JUST, usesAbbreviation, DG JUST]
  • A. DG JUST chosen
    DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. DG
    DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
  • D. DG MOVE
    DG MOVE is the European Commission department responsible for developing and implementing EU policies on transport and mobility across all modes.
  • E. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f3204bac8190b9bd8bfcc705b06b completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9ceea08190944354d127f2c73b completed April 10, 2026, 10:33 p.m.
Created at: April 8, 2026, 9:08 p.m.