Triple

T11827024
Position Surface form Disambiguated ID Type / Status
Subject Gaya district E281283 entity
Predicate contains P35 FINISHED
Object Wazirganj
Wazirganj is a town in the Gaya district of Bihar, India, known primarily as a local administrative and market center for surrounding rural areas.
 E949718 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: Wazirganj | Statement: [Gaya district, contains, Wazirganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wazirganj
Context triple: [Gaya district, contains, Wazirganj]
  • A. Sultanganj
    Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
  • B. Rampurhat
    Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
  • C. Izatnagar
    Izatnagar is a locality in Bareilly, Uttar Pradesh, India, known primarily as a major railway hub and the site of the Indian Veterinary Research Institute.
  • D. Chalisgaon
    Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
  • E. Kishanganj
    Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
  • 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: Wazirganj
Triple: [Gaya district, contains, Wazirganj]
Generated description
Wazirganj is a town in the Gaya district of Bihar, India, known primarily as a local administrative and market center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wazirganj
Target entity description: Wazirganj is a town in the Gaya district of Bihar, India, known primarily as a local administrative and market center for surrounding rural areas.
  • A. Sultanganj
    Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
  • B. Rampurhat
    Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
  • C. Izatnagar
    Izatnagar is a locality in Bareilly, Uttar Pradesh, India, known primarily as a major railway hub and the site of the Indian Veterinary Research Institute.
  • D. Chalisgaon
    Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
  • E. Kishanganj
    Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: April 8, 2026, 9:43 p.m.