Triple

T20612827
Position Surface form Disambiguated ID Type / Status
Subject Aludra E506488 entity
Predicate hasRemainingLifespan P140765 FINISHED
Object relatively short 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: relatively short | Statement: [Aludra, hasRemainingLifespan, relatively short]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRemainingLifespan
Context triple: [Aludra, hasRemainingLifespan, relatively short]
  • A. hasMeanLifetime
    Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
  • B. hasLifetimeStatus
    Indicates that an entity is associated with a status or condition that applies for the entire duration of its existence.
  • C. hasRemainsOf
    Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
  • D. hasTimingCapability
    Indicates that an entity possesses the ability to measure, control, or manage timing-related aspects of an operation or process.
  • E. canExpire
    Indicates that the subject has the property or status of being able to end, lapse, or become invalid after a certain time or condition is met.
  • F. None of above. chosen

Provenance (4 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad94dac8190921c7769a649c724 completed April 20, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69e5a00c43308190b7ea58d559257e07 completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a9f3f88190b961db9aca36f7da completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:41 a.m.