Triple

T13553535
Position Surface form Disambiguated ID Type / Status
Subject inscription "United States of America" E323708 entity
Predicate containsWord P6841 FINISHED
Object States E87403 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: States | Statement: [inscription "United States of America", containsWord, States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: States
Context triple: [inscription "United States of America", containsWord, States]
  • A. States
    The States are the individual self-governing regional political units within the federal system of Australia, each with its own parliament and constitutional powers.
  • B. States
    States are the primary constituent political units of the Republic of India, each with its own government and legislature operating within the federal constitutional framework.
  • C. U.S. states chosen
    U.S. states are the 50 constituent political entities that share sovereignty with the federal government of the United States, each with its own constitution, laws, and governance structure.
  • D. Stathe
    Stathe is a small village in Somerset, England, situated close to the River Parrett on the Somerset Levels.
  • E. État
    État is a French public transport ticketing system used for accessing and paying for services across the national rail and associated networks.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.