Triple

T8561023
Position Surface form Disambiguated ID Type / Status
Subject NIA E202689 entity
Predicate abbreviation P43 FINISHED
Object NIA unclear NED1 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: NIA | Statement: [NIA, abbreviation, NIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIA
Context triple: [NIA, abbreviation, NIA]
  • A. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • B. NIA
    NIA is India’s premier federal counter-terrorism and national security investigation agency.
  • C. NIA
    NIA is the ICAO airline designator assigned to Nile Air, a private Egyptian airline based in Cairo.
  • D. NIEA
    NIEA is the government agency responsible for protecting, conserving, and promoting the natural and built environment in Northern Ireland.
  • E. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe94af14481908b8762e0dc61f10f completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895657188190886779180b783bf3 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.