Triple

T6302235
Position Surface form Disambiguated ID Type / Status
Subject Karbi language E141283 entity
Predicate hasAlternativeName P39 FINISHED
Object Arleng
Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
 E584592 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: Arleng | Statement: [Karbi language, hasAlternativeName, Arleng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arleng
Context triple: [Karbi language, hasAlternativeName, Arleng]
  • A. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • D. Trandal
    Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
  • E. Mandark
    Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
  • 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: Arleng
Triple: [Karbi language, hasAlternativeName, Arleng]
Generated description
Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arleng
Target entity description: Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • A. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • D. Trandal
    Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
  • E. Mandark
    Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3374b64819090c65e0bfdba116a completed March 27, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69c5f3d2e39c8190b579638ce8897c2d completed March 27, 2026, 3:04 a.m.
Created at: March 22, 2026, 4:27 p.m.