Triple

T1918590
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Iranian languages E40074 entity
Predicate hasMajorSubgroup P1185 FINISHED
Object Laki language E122577 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: Laki language | Statement: [Northwestern Iranian languages, hasMajorSubgroup, Laki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laki language
Context triple: [Northwestern Iranian languages, hasMajorSubgroup, Laki language]
  • A. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • B. Luri language chosen
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • C. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • D. Walapai language
    The Walapai language is a Native American language of the Yuman family traditionally spoken by the Hualapai people of northwestern Arizona.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb211eda88190865de7a0522a453d completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3dcc288819096855351a0e69069 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.