Triple

T3593557
Position Surface form Disambiguated ID Type / Status
Subject Sears Canada E76082 entity
Predicate tickerSymbol P1447 FINISHED
Object SCC E284147 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: SCC | Statement: [Sears Canada, tickerSymbol, SCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCC
Context triple: [Sears Canada, tickerSymbol, SCC]
  • A. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • B. SCC
    SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • C. SCC
    SCC is the abbreviated name of the SAARC Cultural Centre, an institution that promotes cultural cooperation among South Asian Association for Regional Cooperation member countries.
  • D. SCC chosen
    SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
  • E. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030fab188190b8de1a4b4d625f00 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.