Triple

T19557836
Position Surface form Disambiguated ID Type / Status
Subject Sri Varaha Swamy Temple, Tirumala E489363 entity
Predicate dedicatedTo P500 FINISHED
Object Varaha NE NERFINISHED

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: Varaha | Statement: [Sri Varaha Swamy Temple, Tirumala, dedicatedTo, Varaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varaha
Context triple: [Sri Varaha Swamy Temple, Tirumala, dedicatedTo, Varaha]
  • A. Varaha chosen
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • B. Galava
    Galava is a sage from ancient Indian tradition associated with the Kushika dynasty and mentioned in various Hindu scriptures.
  • C. Avarua
    Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
  • D. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • E. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d34d1bc81908e5e10f069655866 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.