Triple

T5907372
Position Surface form Disambiguated ID Type / Status
Subject Woods Cree E131371 entity
Predicate ISO639-3Code P208 FINISHED
Object cwd
cwd is the ISO 639-3 code for Woods Cree, an Algonquian language spoken by Cree communities in parts of Canada.
 E554383 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: cwd | Statement: [Woods Cree, ISO639-3Code, cwd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: cwd
Context triple: [Woods Cree, ISO639-3Code, cwd]
  • A. cdH
    cdH (Centre démocrate humaniste) is a French-speaking centrist and humanist political party in Belgium.
  • B. CED
    CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
  • C. CED
    CED is the commonly used abbreviation for the United Nations Committee on Enforced Disappearances, the expert body overseeing implementation of the International Convention for the Protection of All Persons from Enforced Disappearance.
  • D. CED
    CED (Capacitance Electronic Disc) is an obsolete analog video disc format developed by RCA that stored movies on grooved vinyl-like discs read by a stylus.
  • E. wc
    wc is a GNU Core Utilities command-line program that counts lines, words, and bytes in text input.
  • 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: cwd
Triple: [Woods Cree, ISO639-3Code, cwd]
Generated description
cwd is the ISO 639-3 code for Woods Cree, an Algonquian language spoken by Cree communities in parts of Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: cwd
Target entity description: cwd is the ISO 639-3 code for Woods Cree, an Algonquian language spoken by Cree communities in parts of Canada.
  • A. cdH
    cdH (Centre démocrate humaniste) is a French-speaking centrist and humanist political party in Belgium.
  • B. CED
    CED is the commonly used abbreviation for the United Nations Committee on Enforced Disappearances, the expert body overseeing implementation of the International Convention for the Protection of All Persons from Enforced Disappearance.
  • C. CED
    CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
  • D. CED
    CED (Capacitance Electronic Disc) is an obsolete analog video disc format developed by RCA that stored movies on grooved vinyl-like discs read by a stylus.
  • E. wc
    wc is a GNU Core Utilities command-line program that counts lines, words, and bytes in text input.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03772d9dc8190899fe49ef887e685 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16f568081908839cd2403b7534c completed March 23, 2026, 3:20 a.m.
NEDg Description generation batch_69c0b22d661c8190a055abd3ca6fa92f completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b608a10881908c9bca7d09a99b05 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:59 p.m.