Triple

T11127349
Position Surface form Disambiguated ID Type / Status
Subject Grand Mound, Iowa E263175 entity
Predicate postalAddressCountry P17984 FINISHED
Object USA E585449 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: USA | Statement: [Grand Mound, Iowa, postalAddressCountry, USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA
Context triple: [Grand Mound, Iowa, postalAddressCountry, USA]
  • A. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • B. USA chosen
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • E. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e830e804819097fcc3826d84dab8 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4832d59c08190ab120b991bc8ed3b completed April 19, 2026, 7:24 a.m.
Created at: April 8, 2026, 9:28 p.m.