Triple

T11719487
Position Surface form Disambiguated ID Type / Status
Subject Michif E278587 entity
Predicate hasISO639-3Code P189 FINISHED
Object crg
crg is the ISO 639-3 language code for Michif, the mixed Cree–French language traditionally spoken by Métis communities in Canada and parts of the United States.
 E942808 NE FINISHED

How this triple was built (4 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: crg | Statement: [Michif, hasISO639-3Code, crg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: crg
Context triple: [Michif, hasISO639-3Code, crg]
  • A. CRG
    CRG is the National Rail station code for Cross Gates railway station in West Yorkshire, England.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • D. CRD
    CRD is the IATA airport code for General Enrique Mosconi International Airport serving Comodoro Rivadavia in Argentina.
  • E. CRD
    CRD is the regional code for the Capital Regional District, a local government administrative area on southern Vancouver Island in British Columbia, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: crg
Triple: [Michif, hasISO639-3Code, crg]
Generated description
crg is the ISO 639-3 language code for Michif, the mixed Cree–French language traditionally spoken by Métis communities in Canada and parts of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: crg
Target entity description: crg is the ISO 639-3 language code for Michif, the mixed Cree–French language traditionally spoken by Métis communities in Canada and parts of the United States.
  • A. CRG
    CRG is the National Rail station code for Cross Gates railway station in West Yorkshire, England.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • D. CRD
    CRD is the IATA airport code for General Enrique Mosconi International Airport serving Comodoro Rivadavia in Argentina.
  • E. CRD
    CRD is the regional code for the Capital Regional District, a local government administrative area on southern Vancouver Island in British Columbia, Canada.
  • F. None of above. chosen

Provenance (5 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c26e4c8190ae30d906b4fd4221 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83b9131c819085f7bcab902c3763 completed April 27, 2026, 3:41 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.