Triple

T5375438
Position Surface form Disambiguated ID Type / Status
Subject Ananta E108947 entity
Predicate epithet P743 FINISHED
Object Ananta Nāga E108947 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: Ananta Nāga | Statement: [Ananta, epithet, Ananta Nāga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ananta Nāga
Context triple: [Ananta, epithet, Ananta Nāga]
  • A. Naga
    Naga is a coastal city and municipality on Cebu Island in the Philippines known for its industrial activities and growing urban development.
  • B. Naga
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • C. Naga
    Naga refers to a mythological serpent or dragon-like being found in Hindu and Buddhist traditions, often associated with water, protection, and hidden wisdom.
  • D. Ananta chosen
    Ananta is the cosmic serpent in Hindu mythology who serves as the endless, thousand-headed couch of the god Vishnu and symbolizes infinity and timelessness.
  • E. Adishesha
    Adishesha is the primordial cosmic serpent in Hindu mythology, often depicted as the multi-headed serpent on whom the god Vishnu reclines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aed2a8819089d9e699f53563db completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293f6458819091c32080782b56ed completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.