Triple

T1913212
Position Surface form Disambiguated ID Type / Status
Subject Tungabhadra River E38155 entity
Predicate passesNear P416 FINISHED
Object Alampur
Alampur is a historic town in the Indian state of Telangana, renowned for its ancient Navabrahma temples and rich Chalukyan-era architecture.
 E215826 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: Alampur | Statement: [Tungabhadra River, passesNear, Alampur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alampur
Context triple: [Tungabhadra River, passesNear, Alampur]
  • A. 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.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Vikrampura
    Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
  • D. Ramakrishnapur
    Ramakrishnapur is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Ganga Gram
    Ganga Gram is a rural development initiative focused on transforming villages along the Ganges into model, environmentally sustainable communities.
  • 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: Alampur
Triple: [Tungabhadra River, passesNear, Alampur]
Generated description
Alampur is a historic town in the Indian state of Telangana, renowned for its ancient Navabrahma temples and rich Chalukyan-era architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alampur
Target entity description: Alampur is a historic town in the Indian state of Telangana, renowned for its ancient Navabrahma temples and rich Chalukyan-era architecture.
  • A. 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.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Vikrampura
    Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
  • D. Ramakrishnapur
    Ramakrishnapur is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Ganga Gram
    Ganga Gram is a rural development initiative focused on transforming villages along the Ganges into model, environmentally sustainable communities.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e26b948190aa194c30755ac5df completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3d5972881908856b75b324a1ad2 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf44290748190b882559de536af09 completed March 8, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69adf4d0ac58819096659706ef0785d0 completed March 8, 2026, 10:14 p.m.
Created at: March 4, 2026, 7:35 p.m.