Triple

T13923736
Position Surface form Disambiguated ID Type / Status
Subject Mandeali E334808 entity
Predicate altName P39 FINISHED
Object Mandiyali
Mandiyali is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
 E1073626 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: Mandiyali | Statement: [Mandeali, altName, Mandiyali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mandiyali
Context triple: [Mandeali, altName, Mandiyali]
  • A. Mungindi
    Mungindi is a remote Australian town uniquely situated on both sides of the New South Wales–Queensland border, serving as a rural service centre for the surrounding agricultural region.
  • B. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • C. Manide
    Manide is an endangered Austronesian language spoken by the Manide (Negrito) people in parts of southern Luzon in the Philippines.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Madi
    Madi is a Central Sudanic language spoken primarily by the Madi people in parts of South Sudan and northern Uganda.
  • 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: Mandiyali
Triple: [Mandeali, altName, Mandiyali]
Generated description
Mandiyali is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mandiyali
Target entity description: Mandiyali is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • A. Mungindi
    Mungindi is a remote Australian town uniquely situated on both sides of the New South Wales–Queensland border, serving as a rural service centre for the surrounding agricultural region.
  • B. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • C. Manide
    Manide is an endangered Austronesian language spoken by the Manide (Negrito) people in parts of southern Luzon in the Philippines.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Madi
    Madi is a Central Sudanic language spoken primarily by the Madi people in parts of South Sudan and northern Uganda.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa6cd9881908f652538f4613f37 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac880f50819080011aef63f48dc8 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae6691b48190a0affc662cbb2d4e completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:16 p.m.