Triple

T1776193
Position Surface form Disambiguated ID Type / Status
Subject Flag of New Jersey E38984 entity
Predicate featuresSupporter P6311 FINISHED
Object Ceres E112487 NE 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: Ceres | Statement: [Flag of New Jersey, featuresSupporter, Ceres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceres
Context triple: [Flag of New Jersey, featuresSupporter, Ceres]
  • A. Ceres
    Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
  • B. Ceres chosen
    Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
  • C. Vesta
    Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
  • D. Pallas
    Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b839608190b32bc041267458d5 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99a81c08190b602858708263193 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.