Triple

T2746697
Position Surface form Disambiguated ID Type / Status
Subject Dawn E60886 entity
Predicate primaryTarget P815 FINISHED
Object 4 Vesta
4 Vesta is one of the largest objects in the asteroid belt, a differentiated protoplanet whose composition and geology have made it a key target for studying early solar system formation.
 E294774 NE FINISHED

How this triple was built (4 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: 4 Vesta | Statement: [Dawn, primaryTarget, 4 Vesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 4 Vesta
Context triple: [Dawn, primaryTarget, 4 Vesta]
  • A. Vesta
    Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
  • B. Ceres
    Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
  • C. Ceres
    Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
  • D. Ceres
    Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
  • E. Pallas
    Pallas is a figure from Greek mythology, often identified as a Titan associated with war and sometimes linked to Athena’s epithet “Pallas.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 4 Vesta
Triple: [Dawn, primaryTarget, 4 Vesta]
Generated description
4 Vesta is one of the largest objects in the asteroid belt, a differentiated protoplanet whose composition and geology have made it a key target for studying early solar system formation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 4 Vesta
Target entity description: 4 Vesta is one of the largest objects in the asteroid belt, a differentiated protoplanet whose composition and geology have made it a key target for studying early solar system formation.
  • A. Vesta
    Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
  • B. Ceres
    Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
  • C. Ceres
    Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
  • D. Ceres
    Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
  • E. Pallas
    Pallas is a figure from Greek mythology, often identified as a Titan associated with war and sometimes linked to Athena’s epithet “Pallas.”
  • F. None of above. chosen

Provenance (5 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ed6bc8190876c1d188b97692b completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc477a648190a4b7b83f174ca948 completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcc460b88190986844c39165ef14 completed March 10, 2026, 6:40 a.m.
Created at: March 6, 2026, 9:56 p.m.