Triple

T9606483
Position Surface form Disambiguated ID Type / Status
Subject Glottolog E231983 entity
Predicate usesIdentifierScheme P1285 FINISHED
Object Glottocode
Glottocode is a unique alphanumeric identifier system used in Glottolog to catalog and reference the world’s languages and dialects.
 E231983 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: Glottocode | Statement: [Glottolog, usesIdentifierScheme, Glottocode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glottocode
Context triple: [Glottolog, usesIdentifierScheme, Glottocode]
  • A. Glottolog
    Glottolog is a comprehensive bibliographic and classification database of the world’s languages and dialects, maintained by linguists at the Max Planck Institute.
  • B. Ethnologue
    Ethnologue is a comprehensive reference work that catalogs and provides detailed information on the world’s known living languages.
  • C. ISO 639-3 Registration Authority
    The ISO 639-3 Registration Authority is the organization responsible for maintaining and updating the ISO 639-3 standard, which assigns three-letter codes to the world’s languages.
  • D. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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: Glottocode
Triple: [Glottolog, usesIdentifierScheme, Glottocode]
Generated description
Glottocode is a unique alphanumeric identifier system used in Glottolog to catalog and reference the world’s languages and dialects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glottocode
Target entity description: Glottocode is a unique alphanumeric identifier system used in Glottolog to catalog and reference the world’s languages and dialects.
  • A. Glottolog chosen
    Glottolog is a comprehensive bibliographic and classification database of the world’s languages and dialects, maintained by linguists at the Max Planck Institute.
  • B. Ethnologue
    Ethnologue is a comprehensive reference work that catalogs and provides detailed information on the world’s known living languages.
  • C. ISO 639-3 Registration Authority
    The ISO 639-3 Registration Authority is the organization responsible for maintaining and updating the ISO 639-3 standard, which assigns three-letter codes to the world’s languages.
  • D. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • F. None of above.

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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18220a2308190aac7380c98f23965 completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d182db3ef481908a7e588aa35a7a3f completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d183481f488190ab63f0bde2d5c6fc completed April 4, 2026, 9:31 p.m.
Created at: March 30, 2026, 8:08 p.m.