Triple

T19796122
Position Surface form Disambiguated ID Type / Status
Subject Count of Aquila E475544 entity
Predicate region P40 FINISHED
Object Aquila 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: Aquila | Statement: [Count of Aquila, region, Aquila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquila
Context triple: [Count of Aquila, region, Aquila]
  • A. Aquila
    Aquila is a genus of large, powerful birds of prey that includes several species of true eagles found across much of the world.
  • B. Aquila
    Aquila is a prominent constellation in the northern sky, traditionally depicted as an eagle and associated with the Milky Way and the star Altair.
  • C. Aquila
    Aquila is the warship captained by Connor Kenway in Assassin’s Creed III, used for naval combat and exploration during the American Revolutionary period.
  • D. Aquila chosen
    Aquila is a first-century Christian, known from the New Testament as a Jewish tentmaker and close coworker of the apostle Paul alongside his wife Priscilla.
  • E. Alcedo
    Alcedo is a genus of small, brightly colored river kingfishers known for their vivid blue and orange plumage and fish-hunting dives along freshwater habitats.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c723548190ac9bfaecaf8afb13 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.