Triple

T7515319
Position Surface form Disambiguated ID Type / Status
Subject Rangapara College E177624 entity
Predicate locatedIn P40 FINISHED
Object Rangapara
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
E670303 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: Rangapara | Statement: [Rangapara College, locatedIn, Rangapara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangapara
Context triple: [Rangapara College, locatedIn, Rangapara]
  • A. Ranikhola
    Ranikhola is a river flowing through the Gangtok region of Sikkim in northeastern India, known for its scenic valleys and role in the local watershed.
  • B. Chakulia
    Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
  • C. Farakka
    Farakka is a town in West Bengal, India, best known for the Farakka Barrage that diverts Ganges waters toward the Hooghly River.
  • D. Hugli-Chuchura
    Hugli-Chuchura is a historic town and administrative center in the Hooghly district of the Indian state of West Bengal, known for its colonial-era architecture and riverside location along the Hooghly River.
  • E. Mohanbari
    Mohanbari is a locality in the Dibrugarh district of Assam, India, known primarily for hosting the Dibrugarh Airport.
  • 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: Rangapara
Triple: [Rangapara College, locatedIn, Rangapara]
Generated description
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rangapara
Target entity description: Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
  • A. Ranikhola
    Ranikhola is a river flowing through the Gangtok region of Sikkim in northeastern India, known for its scenic valleys and role in the local watershed.
  • B. Chakulia
    Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
  • C. Farakka
    Farakka is a town in West Bengal, India, best known for the Farakka Barrage that diverts Ganges waters toward the Hooghly River.
  • D. Hugli-Chuchura
    Hugli-Chuchura is a historic town and administrative center in the Hooghly district of the Indian state of West Bengal, known for its colonial-era architecture and riverside location along the Hooghly River.
  • E. Mohanbari
    Mohanbari is a locality in the Dibrugarh district of Assam, India, known primarily for hosting the Dibrugarh Airport.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.