Triple

T6099200
Position Surface form Disambiguated ID Type / Status
Subject Isnag language E135951 entity
Predicate hasAlternativeName P39 FINISHED
Object Isneg
Isneg is an indigenous people of the northern Philippines, primarily inhabiting the mountainous regions of Apayao in Luzon.
 E569538 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: Isneg | Statement: [Isnag language, hasAlternativeName, Isneg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Isneg
Context triple: [Isnag language, hasAlternativeName, Isneg]
  • A. Inghi
    Inghi is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Інгулець
    Інгулець is a river in southern Ukraine that flows through the Dnipro basin and is an important waterway for the surrounding agricultural and industrial regions.
  • D. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • E. Ittigen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • 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: Isneg
Triple: [Isnag language, hasAlternativeName, Isneg]
Generated description
Isneg is an indigenous people of the northern Philippines, primarily inhabiting the mountainous regions of Apayao in Luzon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Isneg
Target entity description: Isneg is an indigenous people of the northern Philippines, primarily inhabiting the mountainous regions of Apayao in Luzon.
  • A. Inghi
    Inghi is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Інгулець
    Інгулець is a river in southern Ukraine that flows through the Dnipro basin and is an important waterway for the surrounding agricultural and industrial regions.
  • D. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • E. Ittigen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.