Triple

T8727290
Position Surface form Disambiguated ID Type / Status
Subject Dharwad district E207161 entity
Predicate hasCity P316 FINISHED
Object Navalgund
Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
E754348 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: Navalgund | Statement: [Dharwad district, hasCity, Navalgund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navalgund
Context triple: [Dharwad district, hasCity, Navalgund]
  • A. Dalgaon
    Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
  • B. Nandod
    Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
  • C. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • D. Sindhudurg
    Sindhudurg is a coastal district in Maharashtra, India, renowned for its historic sea fort, beaches, and scenic Konkan landscape.
  • E. Ratnagiri
    Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
  • 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: Navalgund
Triple: [Dharwad district, hasCity, Navalgund]
Generated description
Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Navalgund
Target entity description: Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
  • A. Dalgaon
    Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
  • B. Nandod
    Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
  • C. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • D. Sindhudurg
    Sindhudurg is a coastal district in Maharashtra, India, renowned for its historic sea fort, beaches, and scenic Konkan landscape.
  • E. Ratnagiri
    Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d16cba881908e2a14b60ae65524 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf43bd0f8c8190be2f7dc86f1e76e1 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf444c9cb08190a37f34faa4a3458d completed April 3, 2026, 4:38 a.m.
Created at: March 30, 2026, 6:37 p.m.