Triple

T15380352
Position Surface form Disambiguated ID Type / Status
Subject Pania Wildlife Sanctuary E367781 entity
Predicate hasWildlife 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: [Pania Wildlife Sanctuary, hasWildlife, nilgai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nilgai
Context triple: [Pania Wildlife Sanctuary, hasWildlife, 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. Babra
    Babra is a town in the Amreli district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
  • D. Tragulus
    Tragulus is a genus of small, primitive hoofed mammals known as mouse-deer or chevrotains, native to the forests of Southeast Asia.
  • E. 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.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5996408190afab2221d38e0027 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.