Triple

T11096964
Position Surface form Disambiguated ID Type / Status
Subject DG GROW E262401 entity
Predicate shortName P43 FINISHED
Object DG GROW E262401 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 GROW | Statement: [DG GROW, shortName, DG GROW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG GROW
Context triple: [DG GROW, shortName, DG GROW]
  • A. DG GROW chosen
    DG GROW is the European Commission department responsible for EU policies on the internal market, industry, entrepreneurship, and small and medium-sized enterprises.
  • B. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • C. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • D. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • E. DGG
    DGG is the station code for Dungog railway station in New South Wales, Australia.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.