Triple

T502333
Position Surface form Disambiguated ID Type / Status
Subject Northern India E10427 entity
Predicate hasMajorRiver P165 FINISHED
Object Beas E18137 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: Beas | Statement: [Northern India, hasMajorRiver, Beas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beas
Context triple: [Northern India, hasMajorRiver, Beas]
  • A. Beas River chosen
    The Beas River is a major river in northern India that flows through the state of Punjab, playing a vital role in its agriculture and ecology.
  • B. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • C. Thatta
    Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Bahir
    Bahir is an early and influential mystical work of Jewish Kabbalah that explores esoteric interpretations of the Hebrew Bible and divine emanations.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1339748819089f89691a1698dd9 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4854692348190b87efc0d4559f63f completed March 1, 2026, 6:28 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.