Triple

T9841407
Position Surface form Disambiguated ID Type / Status
Subject Moorabbin, Victoria, Australia E239233 entity
Predicate electoralDivisionFederal P1566 FINISHED
Object Goldstein E156149 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: Goldstein | Statement: [Moorabbin, Victoria, Australia, electoralDivisionFederal, Goldstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldstein
Context triple: [Moorabbin, Victoria, Australia, electoralDivisionFederal, Goldstein]
  • A. Goldstein chosen
    Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • B. Goldner
    Goldner is a surname associated with individuals such as the Austrian-born American composer and conductor Ernest Gold.
  • C. Goldston
    Goldston is a small rural town located in Chatham County, North Carolina.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Goldberg
    Goldberg is a common Ashkenazi Jewish surname borne by numerous notable individuals across entertainment, sports, academia, and public life.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.