Triple

T13180180
Position Surface form Disambiguated ID Type / Status
Subject 90482 Orcus E313700 entity
Predicate hasMeanDistanceFromSunAU P2016 FINISHED
Object 39.2 LITERAL 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: 39.2 | Statement: [90482 Orcus, hasMeanDistanceFromSunAU, 39.2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMeanDistanceFromSunAU
Context triple: [90482 Orcus, hasMeanDistanceFromSunAU, 39.2]
  • A. hasMeanDistanceFromSun chosen
    Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
  • B. approximateDistanceFromSun
    Indicates an estimated or rough measure of how far an entity is from the Sun, rather than an exact distance.
  • C. distanceFromSunCategory
    Indicates the qualitative category or range into which an entity’s distance from the Sun falls (e.g., very close, moderate, far).
  • D. planetOrbitalDistance
    Indicates the average distance between a planet and the celestial body it orbits, typically measured along its orbital path.
  • E. rankByDistanceFromSun
    Indicates an ordering of entities based on how close or far they are from the Sun, with position determined by distance.
  • F. None of above.

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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc2c0c88190be357811aa8e828d completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:14 p.m.