Triple

T15280454
Position Surface form Disambiguated ID Type / Status
Subject Girnar Wildlife Sanctuary E365253 entity
Predicate hasSpecies P965 FINISHED
Object nilgai E271233 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: nilgai | Statement: [Girnar Wildlife Sanctuary, hasSpecies, nilgai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nilgai
Context triple: [Girnar Wildlife Sanctuary, hasSpecies, nilgai]
  • A. nilgai chosen
    The nilgai is a large Asian antelope native to the Indian subcontinent, recognizable by its sturdy build, bluish-gray males, and preference for open plains and scrub forests.
  • B. Kajo-Keji
    Kajo-Keji is a prominent town in South Sudan known for its location near the Ugandan border and its role as an important local administrative and trading center.
  • C. Tragulus
    Tragulus is a genus of small, primitive hoofed mammals known as mouse-deer or chevrotains, native to the forests of Southeast Asia.
  • D. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • E. Hasdeo Arand
    Hasdeo Arand is a dense forested region in the Indian state of Chhattisgarh known for its rich biodiversity and significant coal reserves, making it a focal point of environmental and mining-related debates.
  • 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.