Triple

T1862879
Position Surface form Disambiguated ID Type / Status
Subject Vizagapatam E34854 entity
Predicate alsoKnownAs P39 FINISHED
Object Waltair
Waltair is a historic coastal locality in Visakhapatnam, India, known for its colonial-era institutions, beaches, and residential neighborhoods.
 E208524 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: Waltair | Statement: [Vizagapatam, alsoKnownAs, Waltair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waltair
Context triple: [Vizagapatam, alsoKnownAs, Waltair]
  • A. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • C. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • D. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • E. Jhansi Ki Rani
    Jhansi Ki Rani is the legendary 19th-century queen and freedom fighter Rani Lakshmibai of Jhansi, celebrated for her courageous role in the Indian Rebellion of 1857.
  • 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: Waltair
Triple: [Vizagapatam, alsoKnownAs, Waltair]
Generated description
Waltair is a historic coastal locality in Visakhapatnam, India, known for its colonial-era institutions, beaches, and residential neighborhoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waltair
Target entity description: Waltair is a historic coastal locality in Visakhapatnam, India, known for its colonial-era institutions, beaches, and residential neighborhoods.
  • A. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • C. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • D. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • E. Jhansi Ki Rani
    Jhansi Ki Rani is the legendary 19th-century queen and freedom fighter Rani Lakshmibai of Jhansi, celebrated for her courageous role in the Indian Rebellion of 1857.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09f856c8190807a7cf2a5f49fcb completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d2d2d48190b2234d1ec9ba9085 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add28a8f848190bf6ea0924e7dd9fc completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add37ad9a481908b2a1476a8d33091 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:34 p.m.