Triple

T4872033
Position Surface form Disambiguated ID Type / Status
Subject NH 44 E109106 entity
Predicate connectsCity P4245 FINISHED
Object Nirmal
Nirmal is a town in the Indian state of Telangana known for its traditional wooden toys and paintings.
 E480025 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: Nirmal | Statement: [NH 44, connectsCity, Nirmal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nirmal
Context triple: [NH 44, connectsCity, Nirmal]
  • A. Lakhpat
    Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
  • B. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • C. Sidhi
    Sidhi is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its nearby coal mining areas and natural resources.
  • D. Narnaund
    Narnaund is a prominent town in the northern Indian state of Haryana, known for its agricultural economy and role as a local commercial hub.
  • E. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • 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: Nirmal
Triple: [NH 44, connectsCity, Nirmal]
Generated description
Nirmal is a town in the Indian state of Telangana known for its traditional wooden toys and paintings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nirmal
Target entity description: Nirmal is a town in the Indian state of Telangana known for its traditional wooden toys and paintings.
  • A. Lakhpat
    Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
  • B. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • C. Sidhi
    Sidhi is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its nearby coal mining areas and natural resources.
  • D. Narnaund
    Narnaund is a prominent town in the northern Indian state of Haryana, known for its agricultural economy and role as a local commercial hub.
  • E. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9e27908190a0c4540ee2559c4b completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7793405c81909af7de2ad8e62e54 completed March 21, 2026, 10:48 a.m.
NEDg Description generation batch_69be77fbb3008190bf1b4066a2dbff81 completed March 21, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69be7854677c8190aeef107e6874e4cf completed March 21, 2026, 10:52 a.m.
Created at: March 20, 2026, 1:27 p.m.