Triple

T9246420
Position Surface form Disambiguated ID Type / Status
Subject East Godavari district E222206 entity
Predicate contains P35 FINISHED
Object Tuni
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
E787179 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: Tuni | Statement: [East Godavari district, contains, Tuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuni
Context triple: [East Godavari district, contains, Tuni]
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • C. Fafe
    Fafe is a municipality and city in northern Portugal known for its scenic landscapes, traditional granite architecture, and role as a stage in the Rally de Portugal.
  • D. Solan
    Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
  • E. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • 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: Tuni
Triple: [East Godavari district, contains, Tuni]
Generated description
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tuni
Target entity description: Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • C. Fafe
    Fafe is a municipality and city in northern Portugal known for its scenic landscapes, traditional granite architecture, and role as a stage in the Rally de Portugal.
  • D. Solan
    Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
  • E. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd03f181e081908d9ff7dc6f86420e completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f79cfc81908bae290aa25cf2a1 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07b1a5a3c81908a21d87ddaebc02a completed April 4, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69d07ee0cfc881909a091f988102d138 completed April 4, 2026, 3 a.m.
Created at: March 30, 2026, 7:30 p.m.