Triple

T5557539
Position Surface form Disambiguated ID Type / Status
Subject Drones Club stories E145683 entity
Predicate settingLocation P40 FINISHED
Object Drones Club E145683 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: Drones Club | Statement: [Drones Club stories, settingLocation, Drones Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drones Club
Context triple: [Drones Club stories, settingLocation, Drones Club]
  • A. Drones Club stories chosen
    The Drones Club stories are a series of humorous tales by P. G. Wodehouse centered on the misadventures of idle young London clubmen, including recurring characters like Bertie Wooster.
  • B. AerClub
    AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
  • C. DJI Agras
    DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
  • D. Heron UAV
    The Heron UAV is a medium-altitude long-endurance unmanned aerial vehicle developed by Israel Aerospace Industries, widely used for intelligence, surveillance, and reconnaissance missions.
  • E. DJI Avata
    DJI Avata is a compact first-person-view (FPV) camera drone designed for immersive, agile flight and stabilized aerial video.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffe12cc81908186f28ace0f4d82 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283ebcd081909c86ced90c44266f completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.