Triple

T13148940
Position Surface form Disambiguated ID Type / Status
Subject City of Shoalhaven E312410 entity
Predicate containsTown P847 FINISHED
Object Vincentia E376472 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: Vincentia | Statement: [City of Shoalhaven, containsTown, Vincentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincentia
Context triple: [City of Shoalhaven, containsTown, Vincentia]
  • A. Vincentia chosen
    Vincentia is a coastal town in New South Wales, Australia, known for its white-sand beaches and location on the shores of Jervis Bay.
  • B. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • C. Tinana
    Tinana is a small town and suburb in Queensland, Australia, located near Maryborough in the Fraser Coast Region.
  • D. Valsella
    Valsella is a genus of ascomycete fungi in the order Diaporthales, known for species that often occur as plant-associated or plant-pathogenic organisms.
  • E. Narembeen
    Narembeen is a small agricultural town in Western Australia known for its grain and sheep farming within the state’s Wheatbelt.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaea3f888190b47ed7bf1c52e7e7 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.