Triple

T15280393
Position Surface form Disambiguated ID Type / Status
Subject Amreli district E365252 entity
Predicate contains P35 FINISHED
Object Savarkundla
Savarkundla is a town in the Amreli district of Gujarat, India, known for its brass and copper utensil industry and traditional craftsmanship.
 E1149338 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: Savarkundla | Statement: [Amreli district, contains, Savarkundla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Savarkundla
Context triple: [Amreli district, contains, Savarkundla]
  • A. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • B. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • C. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Tundla
    Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
  • 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: Savarkundla
Triple: [Amreli district, contains, Savarkundla]
Generated description
Savarkundla is a town in the Amreli district of Gujarat, India, known for its brass and copper utensil industry and traditional craftsmanship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Savarkundla
Target entity description: Savarkundla is a town in the Amreli district of Gujarat, India, known for its brass and copper utensil industry and traditional craftsmanship.
  • A. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • B. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • C. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Tundla
    Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef8982bc881908a33ad27ce0ff091 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9ed514081909a54da584dff7e5c completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa72f9cc819089550217ea7c7d6e completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:15 a.m.