Triple

T13238809
Position Surface form Disambiguated ID Type / Status
Subject City of Blue Mountains E315223 entity
Predicate contains P35 FINISHED
Object Lawson E317142 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: Lawson | Statement: [City of Blue Mountains, contains, Lawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawson
Context triple: [City of Blue Mountains, contains, Lawson]
  • A. Lawson
    Lawson is a surname most prominently associated with Tina Knowles-Lawson, the fashion designer and mother of Beyoncé and Solange Knowles.
  • B. Lawson chosen
    Lawson is a small town in the Blue Mountains region of New South Wales, Australia, known for its bushwalking trails, waterfalls, and historic village atmosphere.
  • C. Lawson
    Lawson is a small city in the U.S. state of Missouri known for its rural community character and local schools.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Lampson
    Lampson is a surname most notably associated with American politician Nick Lampson, a former U.S. Representative from Texas.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.