Triple

T992552
Position Surface form Disambiguated ID Type / Status
Subject Uranus E21422 entity
Predicate largestMoon P2034 FINISHED
Object Titania
Titania is the largest of Uranus's moons, an icy, heavily cratered satellite discovered by William Herschel in 1787.
 E117406 NE FINISHED

How this triple was built (4 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: [Uranus, largestMoon, Titania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Titania
Context triple: [Uranus, largestMoon, Titania]
  • A. 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.
  • B. 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.
  • C. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • D. Hyperion
    Hyperion is one of Saturn’s larger, irregularly shaped moons, known for its chaotic rotation and sponge-like, heavily cratered surface.
  • E. Hyperion
    Hyperion is a romantic travelogue novel by Henry Wadsworth Longfellow that blends fiction, philosophy, and lyrical descriptions of Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Titania
Triple: [Uranus, largestMoon, Titania]
Generated description
Titania is the largest of Uranus's moons, an icy, heavily cratered satellite discovered by William Herschel in 1787.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Titania
Target entity description: Titania is the largest of Uranus's moons, an icy, heavily cratered satellite discovered by William Herschel in 1787.
  • A. 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.
  • B. 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.
  • C. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • D. Hyperion
    Hyperion is one of Saturn’s larger, irregularly shaped moons, known for its chaotic rotation and sponge-like, heavily cratered surface.
  • E. Hyperion
    Hyperion is a Titan from Greek mythology associated with heavenly light and often regarded as a primordial god linked to the sun and celestial bodies.
  • F. None of above. chosen

Provenance (5 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7570b388190ada9693935792a58 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258f823c8190afeff79b6a4df911 completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac261af46c81908d61b29ea97c0884 completed March 7, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69ac26ee09f0819098a7b1adcbb79053 completed March 7, 2026, 1:23 p.m.
Created at: March 1, 2026, 7:41 p.m.