Triple

T3227671
Position Surface form Disambiguated ID Type / Status
Subject Indian Navy E67661 entity
Predicate hasNavalBase P1869 FINISHED
Object INS Venduruthy
INS Venduruthy is a major Indian Navy shore establishment and training base located in Kochi, Kerala.
E337439 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: INS Venduruthy | Statement: [Indian Navy, hasNavalBase, INS Venduruthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INS Venduruthy
Context triple: [Indian Navy, hasNavalBase, INS Venduruthy]
  • A. Car Nicobar
    Car Nicobar is a low-lying, predominantly flat coral island in the Nicobar district of India, known for its indigenous Nicobarese community and coconut-fringed coastline.
  • B. Gourette
    Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
  • C. Point Lenana
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • D. MV Arlanza
    MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
  • E. Kallen
    Kallen is a surname most notably associated with Horace M. Kallen, an American philosopher known for his advocacy of cultural pluralism.
  • 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: INS Venduruthy
Triple: [Indian Navy, hasNavalBase, INS Venduruthy]
Generated description
INS Venduruthy is a major Indian Navy shore establishment and training base located in Kochi, Kerala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: INS Venduruthy
Target entity description: INS Venduruthy is a major Indian Navy shore establishment and training base located in Kochi, Kerala.
  • A. Car Nicobar
    Car Nicobar is a low-lying, predominantly flat coral island in the Nicobar district of India, known for its indigenous Nicobarese community and coconut-fringed coastline.
  • B. Gourette
    Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
  • C. Point Lenana
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • D. MV Arlanza
    MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
  • E. Kallen
    Kallen is a surname most notably associated with Horace M. Kallen, an American philosopher known for his advocacy of cultural pluralism.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26262af848190a918f3a606bfa616 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264e25bd48190978a289565854297 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265cd3fcc8190bc56bbf2de229386 completed March 12, 2026, 7:05 a.m.
Created at: March 8, 2026, 3:08 p.m.