Triple

T7957270
Position Surface form Disambiguated ID Type / Status
Subject Kalyani E184770 entity
Predicate hasSubdivision P747 FINISHED
Object Block D
Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
 E705986 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: Block D | Statement: [Kalyani, hasSubdivision, Block D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Block D
Context triple: [Kalyani, hasSubdivision, Block D]
  • A. Block C
    Block C is an administrative subdivision within the town of Kalyani in West Bengal, India.
  • B. Block V
    Block V is an advanced production variant of the U.S. Navy’s Virginia-class nuclear-powered attack submarines, featuring enhanced capabilities such as increased payload capacity and improved mission flexibility.
  • C. Block V
    Block V is one of the large seaside resort buildings within the Nazi-era Prora complex on Germany’s Baltic Sea island of Rügen.
  • D. Block 1B
    Block 1B is an upgraded configuration of NASA’s Space Launch System designed to carry heavier payloads and support crewed deep-space missions beyond low Earth orbit.
  • E. Block I
    Block I is one of the massive seaside accommodation blocks within the Nazi-era Prora resort complex on Germany’s Baltic Sea island of Rügen.
  • 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: Block D
Triple: [Kalyani, hasSubdivision, Block D]
Generated description
Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Block D
Target entity description: Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
  • A. Block C
    Block C is an administrative subdivision within the town of Kalyani in West Bengal, India.
  • B. Block V
    Block V is one of the large seaside resort buildings within the Nazi-era Prora complex on Germany’s Baltic Sea island of Rügen.
  • C. Block V
    Block V is an advanced production variant of the U.S. Navy’s Virginia-class nuclear-powered attack submarines, featuring enhanced capabilities such as increased payload capacity and improved mission flexibility.
  • D. Block 1B
    Block 1B is an upgraded configuration of NASA’s Space Launch System designed to carry heavier payloads and support crewed deep-space missions beyond low Earth orbit.
  • E. Block I
    Block I is one of the massive seaside accommodation blocks within the Nazi-era Prora resort complex on Germany’s Baltic Sea island of Rügen.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7ebb24819094bc011d51ef63fb completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc565efef48190915892c5d8af852c completed March 31, 2026, 11:18 p.m.
NEDg Description generation batch_69cc5822581481908a143376bee599ec completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f549388190ba6c8b41c0820cd6 completed March 31, 2026, 11:29 p.m.
Created at: March 30, 2026, 5:11 p.m.