Triple

T18928700
Position Surface form Disambiguated ID Type / Status
Subject SG-CAN E463041 entity
Predicate acronym P43 FINISHED
Object SGCAN 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: SGCAN | Statement: [SG-CAN, acronym, SGCAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SGCAN
Context triple: [SG-CAN, acronym, SGCAN]
  • A. SG-CAN chosen
    SG-CAN is the executive body of the Andean Community responsible for coordinating and implementing the regional bloc’s policies and integration initiatives.
  • B. SGC
    SGC is the IATA airport code for Surgut International Airport in Russia.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SCG
    SCG is the stock ticker symbol for Scentre Group, an Australian real estate investment trust that owns and operates Westfield-branded shopping centres across Australia and New Zealand.
  • E. SGP
    SGP is a conservative Calvinist political party in the Netherlands known for its orthodox Protestant principles and traditionalist positions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bea84081908fbe657fb4657c0b completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.