Triple

T1529240
Position Surface form Disambiguated ID Type / Status
Subject South-Central Dravidian E32402 entity
Predicate includesLanguage P2177 FINISHED
Object Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
 E173498 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: Pengo | Statement: [South-Central Dravidian, includesLanguage, Pengo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pengo
Context triple: [South-Central Dravidian, includesLanguage, Pengo]
  • A. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • B. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • C. Peg
    Peg is a common diminutive or nickname for the female given name Margaret.
  • D. Pouncer
    Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
  • E. Plump Jack
    Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
  • 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: Pengo
Triple: [South-Central Dravidian, includesLanguage, Pengo]
Generated description
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pengo
Target entity description: Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • A. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • B. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • C. Peg
    Peg is a common diminutive or nickname for the female given name Margaret.
  • D. Pouncer
    Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
  • E. Plump Jack
    Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb1dfd1a48190804ca5f0fb6f5985 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2955dc788190988ebf911714437b completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a18a79c81908f04ba9aa55d52a0 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a8deae8819095731fdd1b4bd310 completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.