Triple

T18018749
Position Surface form Disambiguated ID Type / Status
Subject DMO E431061 entity
Predicate abbreviation P43 FINISHED
Object DMO 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: DMO | Statement: [DMO, abbreviation, DMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DMO
Context triple: [DMO, abbreviation, DMO]
  • A. DMO chosen
    DMO is the commonly used abbreviation for the UK Debt Management Office, the government agency responsible for managing the United Kingdom’s debt and cash needs.
  • B. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • C. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • D. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • E. DME
    DME is a high-speed expressway in northern India that connects Delhi with the city of Meerut to reduce travel time and ease regional traffic congestion.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9bf85c08190a40cef4c6d7b566a completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.