Triple

T15725939
Position Surface form Disambiguated ID Type / Status
Subject Tritos cycle E381217 entity
Predicate hasApproximateLengthRelation P4874 FINISHED
Object 1 Tritos ≈ 135 synodic months 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: 1 Tritos ≈ 135 synodic months | Statement: [Tritos cycle, hasApproximateLengthRelation, 1 Tritos ≈ 135 synodic months]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateLengthRelation
Context triple: [Tritos cycle, hasApproximateLengthRelation, 1 Tritos ≈ 135 synodic months]
  • A. hasMaxLengthApprox
    Indicates that something has a maximum length that is approximately equal to a specified value, allowing for some tolerance or imprecision.
  • B. approximateLengthInMeters
    Indicates the estimated or roughly measured length of something expressed in meters.
  • C. hasApproximateValue
    Indicates that one entity’s value is close to, but not exactly equal to, the value of another entity within an acceptable margin of error.
  • D. hasApproximateDuration chosen
    Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
  • E. containsApproximately
    Indicates that one entity holds or includes another entity in a quantity or proportion that is close to, but not exactly, a specified amount.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69e00526759c819088b80d85138b8974 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.