Triple

T37105361
Position Surface form Disambiguated ID Type / Status
Subject 6489 Golevka E918824 entity
Predicate hasMeasuredEffect P76547 FINISHED
Object Yarkovsky effect
The Yarkovsky effect is a small but significant force on rotating bodies in space caused by the uneven emission of thermal radiation, which can gradually alter an asteroid’s orbit over time.
 E2212505 NE FINISHED

How this triple was built (3 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: Yarkovsky effect | Statement: [6489 Golevka, hasMeasuredEffect, Yarkovsky effect]
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: Yarkovsky effect
Triple: [6489 Golevka, hasMeasuredEffect, Yarkovsky effect]
Generated description
The Yarkovsky effect is a small but significant force on rotating bodies in space caused by the uneven emission of thermal radiation, which can gradually alter an asteroid’s orbit over time.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMeasuredEffect
Context triple: [6489 Golevka, hasMeasuredEffect, Yarkovsky effect]
  • A. measuredEffect chosen
    Indicates that an action or process has produced a specific, quantified outcome or impact on something.
  • B. hasMeasuredParameter
    Indicates that an entity has a specific parameter that has been quantitatively measured or recorded.
  • C. hasMeasurement
    Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
  • D. hasEffectIn
    Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
  • E. hasIntendedEffect
    Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
  • F. None of above.

Provenance (6 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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff7ae5d088819089aa3b6360b6b749 completed May 9, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdd7df748190b71cb85588a1774e completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3eff236cfc8190860fe9c296aa5fd2 completed June 26, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a3f0a529f148190b754be085e044efd completed June 26, 2026, 11:25 p.m.
PD Predicate disambiguation batch_69ff7a4df6488190bf60d675b36b1d6d completed May 9, 2026, 6:17 p.m.
Created at: May 3, 2026, 4:14 p.m.