Triple

T3403550
Position Surface form Disambiguated ID Type / Status
Subject Riverina E71713 entity
Predicate hasTown P847 FINISHED
Object Lockhart E11961 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: Lockhart | Statement: [Riverina, hasTown, Lockhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockhart
Context triple: [Riverina, hasTown, Lockhart]
  • A. Lockhart chosen
    Lockhart is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and heritage streetscapes.
  • B. Blakely
    Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
  • C. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e8ea848190b4ac167f1aba8ebd completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.