Triple

T9192689
Position Surface form Disambiguated ID Type / Status
Subject Khasian E220627 entity
Predicate hasMember P10 FINISHED
Object Maram language
The Maram language is an Austroasiatic language spoken by the Maram Naga community in parts of Northeast India, particularly in Manipur.
 E783508 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: Maram language | Statement: [Khasian, hasMember, Maram language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maram language
Context triple: [Khasian, hasMember, Maram language]
  • A. Marau language
    The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
  • B. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • C. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • D. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • E. Muria language
    Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
  • 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: Maram language
Triple: [Khasian, hasMember, Maram language]
Generated description
The Maram language is an Austroasiatic language spoken by the Maram Naga community in parts of Northeast India, particularly in Manipur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maram language
Target entity description: The Maram language is an Austroasiatic language spoken by the Maram Naga community in parts of Northeast India, particularly in Manipur.
  • A. Marau language
    The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
  • B. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • C. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • D. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • E. Muria language
    Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05dde94f08190aec82aa680ca0dce completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.