Triple

T19234737
Position Surface form Disambiguated ID Type / Status
Subject GMII E480963 entity
Predicate hasSignal P4628 FINISHED
Object CRS NE NERFINISHED

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: CRS | Statement: [GMII, hasSignal, CRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRS
Context triple: [GMII, hasSignal, CRS]
  • A. CRS
    CRS is the commonly used abbreviation for the Chicago Red Stars, a professional women's soccer team based in the Chicago metropolitan area.
  • B. CRS
    CRS is a U.S. Department of Justice agency that provides mediation and conflict resolution services to help communities address tensions and disputes arising from differences such as race, color, and national origin.
  • C. CRS
    CRS is a major international humanitarian agency of the U.S. Catholic community that provides emergency relief and long-term development assistance in countries around the world.
  • D. CRS
    CRS is a NASA program under which private companies like SpaceX and Northrop Grumman deliver cargo and supplies to the International Space Station.
  • E. OECD CRS
    OECD CRS is an international statistical system managed by the OECD that tracks and reports detailed data on official development assistance and other resource flows to developing countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faeb53988190b83afee9974058c6 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.