Triple

T22208403
Position Surface form Disambiguated ID Type / Status
Subject Ashoknagar district E548875 entity
Predicate hasTown P847 FINISHED
Object Mungaoli NE NERFINISHED

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: Mungaoli | Statement: [Ashoknagar district, hasTown, Mungaoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mungaoli
Context triple: [Ashoknagar district, hasTown, Mungaoli]
  • A. Mungaoli chosen
    Mungaoli is a town and legislative assembly constituency in the Ashoknagar district of Madhya Pradesh, India.
  • B. Mungindi
    Mungindi is a remote Australian town uniquely situated on both sides of the New South Wales–Queensland border, serving as a rural service centre for the surrounding agricultural region.
  • C. Marranunga
    Marranunga is an Aboriginal Australian people traditionally associated with the Daly River region of the Northern Territory.
  • D. Murriyang
    Murriyang is the Wiradjuri name for the Parkes Observatory, a major Australian radio telescope renowned for its contributions to radio astronomy and space exploration.
  • E. Munglinup
    Munglinup is a small rural town in Western Australia known for its farming community and proximity to the south coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b29eb808190ab8abaa1e0e354fa completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.