Triple

T2863035
Position Surface form Disambiguated ID Type / Status
Subject US-CT E63370 entity
Predicate countryCode P208 FINISHED
Object US E287391 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: US | Statement: [US-CT, countryCode, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US
Context triple: [US-CT, countryCode, US]
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. Us
    Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • C. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • D. .us chosen
    .us is the country code top-level domain (ccTLD) designated for websites associated with the United States.
  • E. EEU
    EEU is the commonly used abbreviation for the Eurasian Economic Union, a regional economic bloc of several post-Soviet states focused on economic integration and a single market.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb6e6988190b832ee05d8420633 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3544e32a0819087d554982f443b1d completed March 13, 2026, 12:03 a.m.
Created at: March 6, 2026, 10:02 p.m.