Triple

T20491498
Position Surface form Disambiguated ID Type / Status
Subject Huskisson E502754 entity
Predicate locatedNear P294 FINISHED
Object Vincentia NE NERFINISHED

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: [Huskisson, locatedNear, Vincentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincentia
Context triple: [Huskisson, locatedNear, 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. Curicta
    Curicta is an ancient Adriatic island, historically associated with the Roman province of Dalmatia and known today as the Croatian island of Krk.
  • C. Chaboras
    Chaboras is the ancient name for the Habur River, a significant tributary of the Euphrates in northern Mesopotamia mentioned in classical and biblical sources.
  • D. 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.
  • E. Tinana
    Tinana is a small town and suburb in Queensland, Australia, located near Maryborough in the Fraser Coast Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cba5b708190bef437acf6321b81 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.