Triple

T14492031
Position Surface form Disambiguated ID Type / Status
Subject Gujarat E359383 entity
Predicate hasFestival P3113 FINISHED
Object Uttarayan E114661 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: Uttarayan | Statement: [Gujarat, hasFestival, Uttarayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uttarayan
Context triple: [Gujarat, hasFestival, Uttarayan]
  • A. Uttarayan chosen
    Uttarayan is the Gujarati celebration of the Hindu festival Makar Sankranti, marked by large-scale kite flying and the transition of the sun into the northern hemisphere.
  • B. Uttaradit
    Uttaradit is a provincial capital in northern Thailand known as a regional transport hub and gateway to nearby historical and natural attractions.
  • C. 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.
  • D. Yaganti
    Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
  • E. Uttara
    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.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930d820481908b9813014dd02540 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9334708190baa2f8094df3c09e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.