Triple

T25692039
Position Surface form Disambiguated ID Type / Status
Subject Rajabazar E644224 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Rajabazar Science College
Rajabazar Science College is a prominent science-focused campus of the University of Calcutta in Kolkata, India, known for its higher education and research in various scientific disciplines.
E1694235 NE FINISHED

How this triple was built (2 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: Rajabazar Science College | Statement: [Rajabazar, hasEducationalInstitution, Rajabazar Science College]
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: Rajabazar Science College
Triple: [Rajabazar, hasEducationalInstitution, Rajabazar Science College]
Generated description
Rajabazar Science College is a prominent science-focused campus of the University of Calcutta in Kolkata, India, known for its higher education and research in various scientific disciplines.

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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fbc1ad50819084657d6e4071e1f4 completed May 2, 2026, 1:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbf1de788190b22ff1c36d711543 completed May 22, 2026, 9:34 p.m.
NEDg Description generation batch_6a10ccbbd8748190af5429ed417fd61f completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdbc645881909f0c2da445ee41f6 completed May 22, 2026, 9:42 p.m.
Created at: April 21, 2026, 8:28 p.m.