Triple

T17957521
Position Surface form Disambiguated ID Type / Status
Subject Virata E448991 entity
Predicate fatherOf P120 FINISHED
Object Uttaraa 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: Uttaraa | Statement: [Virata, fatherOf, Uttaraa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uttaraa
Context triple: [Virata, fatherOf, Uttaraa]
  • A. Uttara chosen
    Uttara is a prince of the Matsya kingdom in the Mahabharata, known for serving as Arjuna’s charioteer during the battle against the Kaurava forces in the Virata Parva.
  • B. Uttara
    Uttara is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Uttara
    Uttara is an acclaimed Indian Bengali film directed by Buddhadeb Dasgupta, noted for its allegorical exploration of violence, faith, and rural life.
  • D. Uttaradit
    Uttaradit is a provincial capital in northern Thailand known as a regional transport hub and gateway to nearby historical and natural attractions.
  • E. Uttarpara
    Uttarpara is a historic suburban town in West Bengal, India, known for its cultural heritage, educational institutions, and proximity to Kolkata along the Hooghly River.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb0afe08190964e771ec632fa1e completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.