Triple

T14787430
Position Surface form Disambiguated ID Type / Status
Subject Indian Coast Guard crest E347564 entity
Predicate hasMotto P42 FINISHED
Object Vayam Rakshamah E347563 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: Vayam Rakshamah | Statement: [Indian Coast Guard crest, hasMotto, Vayam Rakshamah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vayam Rakshamah
Context triple: [Indian Coast Guard crest, hasMotto, Vayam Rakshamah]
  • A. Vayam Rakshamah chosen
    Vayam Rakshamah is the Sanskrit motto of the Indian Coast Guard, meaning “We Protect” or “We Guard.”
  • B. Ranganayaki
    Ranganayaki is the principal consort goddess (often identified with Lakshmi) worshipped at the Sri Ranganathaswamy Temple in Srirangam.
  • C. Yugant
    Yugant is a critically acclaimed Indian Bengali film directed by Aparna Sen that explores the disintegration of a modern marriage against the backdrop of environmental and social change.
  • D. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • E. Yudgha
    Yudgha is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in the Chitral region of northern Pakistan.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.