Triple

T3432770
Position Surface form Disambiguated ID Type / Status
Subject Nerang E72376 entity
Predicate hasNearbySuburb P41355 FINISHED
Object Carrara E355138 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: Carrara | Statement: [Nerang, hasNearbySuburb, Carrara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrara
Context triple: [Nerang, hasNearbySuburb, Carrara]
  • A. Carrara
    Carrara is an Italian city renowned worldwide for its high-quality white marble quarries and sculpture tradition.
  • B. Carrara chosen
    Carrara is a suburb on Queensland’s Gold Coast in Australia, known for its residential communities, golf courses, and proximity to major sporting and entertainment venues.
  • C. Cortona
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • D. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • E. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547d3f4c8190bc6811398bd8f080 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.