Triple

T12310090
Position Surface form Disambiguated ID Type / Status
Subject Pune district E293453 entity
Predicate containsTown P847 FINISHED
Object Shirur
Shirur is a town in the Pune district of Maharashtra, India, known as a regional commercial and agricultural center.
E980107 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: Shirur | Statement: [Pune district, containsTown, Shirur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirur
Context triple: [Pune district, containsTown, Shirur]
  • A. Maddur
    Maddur is a town in Karnataka, India, known for its location between Bengaluru and Mysuru and its popular local snack, Maddur vada.
  • B. Sohra
    Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
  • C. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • E. Gangathura
    Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
  • 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: Shirur
Triple: [Pune district, containsTown, Shirur]
Generated description
Shirur is a town in the Pune district of Maharashtra, India, known as a regional commercial and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shirur
Target entity description: Shirur is a town in the Pune district of Maharashtra, India, known as a regional commercial and agricultural center.
  • A. Maddur
    Maddur is a town in Karnataka, India, known for its location between Bengaluru and Mysuru and its popular local snack, Maddur vada.
  • B. Sohra
    Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
  • C. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • E. Gangathura
    Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f02c0508190b10c0627cdaaba76 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634688f548190b3c9013591da939b completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356b545c819089a5f5b901afc5f2 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f636382ffc8190becfae41757a45d8 completed May 2, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:53 p.m.