Triple

T4178110
Position Surface form Disambiguated ID Type / Status
Subject Kalasan inscription E86526 entity
Predicate mentionsDeity P5606 FINISHED
Object Tara E419409 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: Tara | Statement: [Kalasan inscription, mentionsDeity, Tara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara
Context triple: [Kalasan inscription, mentionsDeity, Tara]
  • A. Tara
    Tara is a female given name commonly used in English-speaking countries, often associated with notable figures such as Olympic figure skater Tara Lipinski.
  • B. Tara
    Tara is an ancient ceremonial and royal site in County Meath, Ireland, traditionally regarded as the seat of the High Kings of Ireland and a major center of Gaelic spiritual and political life.
  • C. Tara chosen
    Tara is a revered Buddhist goddess associated with compassion and protection, widely worshipped across South and Southeast Asia.
  • D. Tamina
    The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
  • E. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ec20fc8190b6f30576337e0ddc completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b596151b3c8190a70653747f7e3ff3 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.