Triple

T5281422
Position Surface form Disambiguated ID Type / Status
Subject Umbriel E119505 entity
Predicate neighboringMoons P62572 FINISHED
Object Titania E117406 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: Titania | Statement: [Umbriel, neighboringMoons, Titania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titania
Context triple: [Umbriel, neighboringMoons, Titania]
  • A. Titania chosen
    Titania is the largest of Uranus's moons, an icy, heavily cratered satellite discovered by William Herschel in 1787.
  • B. Oberon
    Oberon is a rural town in New South Wales, Australia, known for its cool climate, timber industry, and proximity to Jenolan Caves and the Blue Mountains.
  • C. Oberon
    Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
  • D. Oberon
    Oberon is one of Uranus's largest and outermost major moons, known for its heavily cratered, icy surface and dark, ancient terrain.
  • E. Oberon
    Oberon is the king of the fairies in Shakespeare’s comedy "A Midsummer Night’s Dream," known for his magical meddling in the romantic entanglements of mortals and sprites.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e27b5081908b755a817d4c260a completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.