Triple

T3839726
Position Surface form Disambiguated ID Type / Status
Subject 1036 Ganymed E93420 entity
Predicate hasHighlyEccentricOrbit P2030 FINISHED
Object true 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: true | Statement: [1036 Ganymed, hasHighlyEccentricOrbit, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHighlyEccentricOrbit
Context triple: [1036 Ganymed, hasHighlyEccentricOrbit, true]
  • A. orbitalEccentricity
    Indicates the degree to which an orbit deviates from a perfect circle, quantifying how elongated the orbital path is.
  • B. hasOrbitalPeriod
    Indicates that one entity completes a full orbit around another entity within a specified duration.
  • C. hasOrbitalResonanceWith
    Indicates that two orbiting bodies have orbital periods in a simple integer ratio, causing their gravitational influences to repeat in a regular, synchronized pattern.
  • D. hasOrbitalStability
    Indicates that an object maintains a stable, non-disruptive orbit around another body over time.
  • E. hasEccentricity chosen
    Indicates that an object or orbit possesses a specific degree of deviation from being perfectly circular, quantified by its eccentricity value.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74dcecc819098285483ec721b40 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:18 p.m.