Triple

T7407425
Position Surface form Disambiguated ID Type / Status
Subject Luni River E170909 entity
Predicate environment P853 FINISHED
Object Thar Desert E5064 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: Thar Desert | Statement: [Luni River, environment, Thar Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thar Desert
Context triple: [Luni River, environment, Thar Desert]
  • A. Thar Desert chosen
    The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
  • B. Murzuq Desert
    The Murzuq Desert is a vast, remote sand desert in southwestern Libya, known for its towering dunes, extreme aridity, and sparse human habitation.
  • C. Siloli Desert
    The Siloli Desert is a remote, high-altitude desert in southwestern Bolivia, known for its stark rock formations, sparse vegetation, and otherworldly landscapes within the Andean plateau.
  • D. Nefud Desert
    The Nefud Desert is a vast, crescent-shaped sand desert in northern Saudi Arabia known for its towering dunes and harsh, arid climate.
  • E. Katpana Desert
    Katpana Desert is a high-altitude cold desert near Skardu in Pakistan’s Gilgit-Baltistan region, known for its striking sand dunes set against snow-capped mountains.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.