Triple

T6184747
Position Surface form Disambiguated ID Type / Status
Subject Iban language E138028 entity
Predicate hasNativeName P1435 FINISHED
Object Jaku Iban
Jaku Iban is the native name for the Iban language spoken by the Iban people of Borneo.
E574300 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: Jaku Iban | Statement: [Iban language, hasNativeName, Jaku Iban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaku Iban
Context triple: [Iban language, hasNativeName, Jaku Iban]
  • A. Beni Isguen
    Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
  • B. Ivasayen Ivatan
    Ivasayen Ivatan is a variety of the Ivatan language spoken by the Ivatan people of the Batanes Islands in the northern Philippines.
  • C. Iwane
    Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
  • D. Waris
    Waris is the given name of Waris Shah, the renowned 18th-century Punjabi Sufi poet best known for his epic romance "Heer Ranjha."
  • E. Jacobo
    Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
  • 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: Jaku Iban
Triple: [Iban language, hasNativeName, Jaku Iban]
Generated description
Jaku Iban is the native name for the Iban language spoken by the Iban people of Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaku Iban
Target entity description: Jaku Iban is the native name for the Iban language spoken by the Iban people of Borneo.
  • A. Beni Isguen
    Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
  • B. Ivasayen Ivatan
    Ivasayen Ivatan is a variety of the Ivatan language spoken by the Ivatan people of the Batanes Islands in the northern Philippines.
  • C. Iwane
    Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
  • D. Waris
    Waris is the given name of Waris Shah, the renowned 18th-century Punjabi Sufi poet best known for his epic romance "Heer Ranjha."
  • E. Jacobo
    Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1472997d081909266b0e64fdbfe96 completed March 23, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69c147b5214c819082c20480965842be completed March 23, 2026, 2:01 p.m.
Created at: March 22, 2026, 4:19 p.m.