Triple

T4958575
Position Surface form Disambiguated ID Type / Status
Subject Ambala district E111346 entity
Predicate hasTown P847 FINISHED
Object Naraingarh
Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
 E485057 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: Naraingarh | Statement: [Ambala district, hasTown, Naraingarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naraingarh
Context triple: [Ambala district, hasTown, Naraingarh]
  • A. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • B. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • C. Deogarh
    Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
  • D. Khajauli
    Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Titagarh
    Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • 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: Naraingarh
Triple: [Ambala district, hasTown, Naraingarh]
Generated description
Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naraingarh
Target entity description: Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
  • A. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • B. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • C. Deogarh
    Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
  • D. Khajauli
    Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Titagarh
    Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89f639c081908658c1a228081dd9 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8c55934c8190a5b693a9b71fd935 completed March 21, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69be8cc26f48819094742f965919fec3 completed March 21, 2026, 12:19 p.m.
Created at: March 20, 2026, 1:32 p.m.