Triple

T2749866
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate containsCity P294 FINISHED
Object Sheikhpura
Sheikhpura is a town and administrative center in the eastern Indian state of Bihar, known for its role as the headquarters of Sheikhpura district.
 E300503 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: Sheikhpura | Statement: [Bihar, containsCity, Sheikhpura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sheikhpura
Context triple: [Bihar, containsCity, Sheikhpura]
  • A. Akbarpur
    Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
  • B. Kamalpur
    Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
  • C. Burhanpur
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • D. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • E. Baharampur
    Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
  • 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: Sheikhpura
Triple: [Bihar, containsCity, Sheikhpura]
Generated description
Sheikhpura is a town and administrative center in the eastern Indian state of Bihar, known for its role as the headquarters of Sheikhpura district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sheikhpura
Target entity description: Sheikhpura is a town and administrative center in the eastern Indian state of Bihar, known for its role as the headquarters of Sheikhpura district.
  • A. Akbarpur
    Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
  • B. Kamalpur
    Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
  • C. Burhanpur
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • D. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • E. Baharampur
    Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6439b348190be7529256d9d0531 completed March 10, 2026, 7:20 a.m.
NEDg Description generation batch_69afca088ba48190a9feee0fdc7c5d94 completed March 10, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_69afcac03ff48190821c396bfe827f98 completed March 10, 2026, 7:39 a.m.
Created at: March 6, 2026, 9:56 p.m.