Triple

T13828824
Position Surface form Disambiguated ID Type / Status
Subject Madhav Rao I E332327 entity
Predicate deathPlace P21 FINISHED
Object Theur E473284 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: Theur | Statement: [Madhav Rao I, deathPlace, Theur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theur
Context triple: [Madhav Rao I, deathPlace, Theur]
  • A. Theur chosen
    Theur is a village near Pune in Maharashtra, India, known for its historic temples and association with the Peshwa-era Maratha nobility.
  • B. Thurio
    Thurio is a foolish and cowardly nobleman in Shakespeare’s comedy "The Two Gentlemen of Verona," presented as an unworthy suitor to Silvia.
  • C. Thrylos
    Thrylos is the popular nickname of Greek football club Olympiacos FC, reflecting its legendary status and storied success.
  • D. Theorus
    Theorus is a minor Athenian character in Aristophanes' comedy "The Acharnians," typically portrayed as a sycophantic political figure used for satirical effect.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.