Triple

T20051709
Position Surface form Disambiguated ID Type / Status
Subject Anantapur E499215 entity
Predicate hasNearbyTown P3883 FINISHED
Object Hindupur
Hindupur is a town in the Anantapur district of Andhra Pradesh, India, known as a regional commercial and transportation hub near the Karnataka border.
E1410424 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: Hindupur | Statement: [Anantapur, hasNearbyTown, Hindupur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindupur
Context triple: [Anantapur, hasNearbyTown, Hindupur]
  • A. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • B. Valmikinagar
    Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
  • C. Hastinapura
    Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
  • D. Khalapur
    Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
  • E. Thanesar
    Thanesar is a historic town in the Indian state of Haryana, renowned as an ancient center of learning and a significant site in Hindu mythology and the Mahabharata.
  • 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: Hindupur
Triple: [Anantapur, hasNearbyTown, Hindupur]
Generated description
Hindupur is a town in the Anantapur district of Andhra Pradesh, India, known as a regional commercial and transportation hub near the Karnataka border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hindupur
Target entity description: Hindupur is a town in the Anantapur district of Andhra Pradesh, India, known as a regional commercial and transportation hub near the Karnataka border.
  • A. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • B. Valmikinagar
    Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
  • C. Hastinapura
    Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
  • D. Khalapur
    Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
  • E. Thanesar
    Thanesar is a historic town in the Indian state of Haryana, renowned as an ancient center of learning and a significant site in Hindu mythology and the Mahabharata.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f31fcd88190a7ad0461610ebf57 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:38 p.m.