Triple

T15280431
Position Surface form Disambiguated ID Type / Status
Subject Amreli district E365252 entity
Predicate hasWildlife P965 FINISHED
Object Asiatic lion E72856 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: Asiatic lion | Statement: [Amreli district, hasWildlife, Asiatic lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiatic lion
Context triple: [Amreli district, hasWildlife, Asiatic lion]
  • A. Asiatic lion chosen
    The Asiatic lion is a rare subspecies of lion native to India, now found only in and around the Gir Forest region of Gujarat.
  • B. Asiatic cheetah
    The Asiatic cheetah is a critically endangered subspecies of cheetah native to Iran, known for being one of the rarest big cats in the world.
  • C. Panthera uncia
    Panthera uncia, commonly known as the snow leopard, is a large, elusive wild cat native to the high mountain ranges of Central and South Asia.
  • D. Indian leopard
    The Indian leopard is a large and adaptable big cat native to the Indian subcontinent, known for its rosette-patterned coat and wide range across forests, grasslands, and human-dominated landscapes.
  • E. African Lion
    African Lion is a large annual multinational military exercise in North and West Africa, led by the United States and Morocco to enhance regional security cooperation and interoperability.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef754c9c8190abdc1d08fd1511cd completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.