Triple

T19965296
Position Surface form Disambiguated ID Type / Status
Subject LIMJ E479914 entity
Predicate hasNavigationAid P8170 FINISHED
Object NDB 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: NDB | Statement: [LIMJ, hasNavigationAid, NDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NDB
Context triple: [LIMJ, hasNavigationAid, NDB]
  • A. NDB
    NDB is a multilateral development bank established by the BRICS countries to finance infrastructure and sustainable development projects in emerging economies.
  • B. NDB CAM
    NDB CAM is a non-directional radio beacon used by pilots for navigation in the vicinity of Cambridge Airport in the United Kingdom.
  • C. NBD
    NBD was a major regional American bank based in Detroit that later became part of JPMorgan Chase through a series of mergers.
  • D. NDB TCA chosen
    NDB TCA is a non-directional radio beacon used by aircraft for navigation in the vicinity of Tennant Creek Airport in Australia.
  • E. Non-Directional Beacons
    Non-directional beacons are ground-based radio transmitters that emit signals in all directions to help aircraft determine their bearing and navigate, especially in low-visibility conditions.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4f47c8190a721f5e488150d81 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.