Triple

T1898648
Position Surface form Disambiguated ID Type / Status
Subject Wardha district E37639 entity
Predicate contains P35 FINISHED
Object Arvi
Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
 E212426 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: Arvi | Statement: [Wardha district, contains, Arvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvi
Context triple: [Wardha district, contains, Arvi]
  • A. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • B. Arvo
    Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Avi
    Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
  • E. Avgad
    Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
  • 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: Arvi
Triple: [Wardha district, contains, Arvi]
Generated description
Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvi
Target entity description: Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
  • A. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • B. Arvo
    Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Avi
    Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
  • E. Avgad
    Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf08708819091566511228d8ec8 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adec0ef72481908ecc3c3383e25d3b completed March 8, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69adec8b0600819086a13abd47f0438d completed March 8, 2026, 9:39 p.m.
Created at: March 4, 2026, 7:35 p.m.