Triple

T14731753
Position Surface form Disambiguated ID Type / Status
Subject Sydney to Griffith Xplorer service E346091 entity
Predicate endPoint P390 FINISHED
Object Griffith E25800 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: Griffith | Statement: [Sydney to Griffith Xplorer service, endPoint, Griffith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffith
Context triple: [Sydney to Griffith Xplorer service, endPoint, Griffith]
  • A. Griffith chosen
    Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
  • B. Griffith
    Griffith is a central, enigmatic antagonist in the dark fantasy manga and anime series "Berserk," known for his charismatic leadership of the Band of the Hawk and his tragic, transformative ambitions.
  • C. Griffith
    Griffith is a surname of Welsh origin that has been borne by numerous notable individuals, including American actor and comedian Andy Griffith.
  • D. Griffith
    Griffith is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • E. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb89ea388190b356df74e36023f7 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.