Triple

T15648230
Position Surface form Disambiguated ID Type / Status
Subject Banaskantha district E376236 entity
Predicate hasTown P847 FINISHED
Object Vadgam
Vadgam is a town in the Banaskantha district of Gujarat, India, known primarily as a local administrative and market center for the surrounding rural region.
 E1170557 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: Vadgam | Statement: [Banaskantha district, hasTown, Vadgam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vadgam
Context triple: [Banaskantha district, hasTown, Vadgam]
  • A. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • B. Varachha
    Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
  • C. Gandevi
    Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
  • D. Vegora
    Vegora is a settlement in northern Greece located close to Lake Vegoritida, known for its scenic lakeside surroundings.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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: Vadgam
Triple: [Banaskantha district, hasTown, Vadgam]
Generated description
Vadgam is a town in the Banaskantha district of Gujarat, India, known primarily as a local administrative and market center for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vadgam
Target entity description: Vadgam is a town in the Banaskantha district of Gujarat, India, known primarily as a local administrative and market center for the surrounding rural region.
  • A. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • B. Varachha
    Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
  • C. Gandevi
    Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
  • D. Vegora
    Vegora is a settlement in northern Greece located close to Lake Vegoritida, known for its scenic lakeside surroundings.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed4d9f88190b7e24bf84c5a916f completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6fe77b408190960b544d4a22587d completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff703fe0088190ab5578d3d398ca09 completed May 9, 2026, 5:34 p.m.
Created at: April 10, 2026, 4:15 a.m.