Triple

T15648231
Position Surface form Disambiguated ID Type / Status
Subject Banaskantha district E376236 entity
Predicate hasTown P847 FINISHED
Object Dantiwada
Dantiwada is a small town in Gujarat, India, known primarily for its agricultural university and proximity to the Dantiwada Dam in Banaskantha district.
E1170558 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: Dantiwada | Statement: [Banaskantha district, hasTown, Dantiwada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dantiwada
Context triple: [Banaskantha district, hasTown, Dantiwada]
  • A. Chandwad
    Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
  • B. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • C. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • D. Nategaon
    Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
  • E. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • 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: Dantiwada
Triple: [Banaskantha district, hasTown, Dantiwada]
Generated description
Dantiwada is a small town in Gujarat, India, known primarily for its agricultural university and proximity to the Dantiwada Dam in Banaskantha district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dantiwada
Target entity description: Dantiwada is a small town in Gujarat, India, known primarily for its agricultural university and proximity to the Dantiwada Dam in Banaskantha district.
  • A. Chandwad
    Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
  • B. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • C. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • D. Nategaon
    Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
  • E. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • 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.