Triple

T4196276
Position Surface form Disambiguated ID Type / Status
Subject Kiama E89160 entity
Predicate hasAttraction P105 FINISHED
Object Kiama Harbour E89160 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: Kiama Harbour | Statement: [Kiama, hasAttraction, Kiama Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiama Harbour
Context triple: [Kiama, hasAttraction, Kiama Harbour]
  • A. Kiama chosen
    Kiama is a coastal town in New South Wales, Australia, known for its dramatic seaside scenery and famous blowhole.
  • B. Mudjin Harbour
    Mudjin Harbour is a dramatic, scenic beach and coastal area on Middle Caicos in the Turks and Caicos Islands, known for its striking limestone cliffs, turquoise waters, and secluded shoreline.
  • C. Wollongong Harbour
    Wollongong Harbour is a historic coastal port and fishing harbour in Wollongong, New South Wales, known for its breakwaters, lighthouses, and role in the city’s maritime and industrial heritage.
  • D. Woy Woy Inlet
    Woy Woy Inlet is a coastal waterway on the New South Wales Central Coast of Australia, forming part of the sheltered estuarine system around the town of Woy Woy.
  • E. Bronte Harbour
    Bronte Harbour is a lakeside marina and waterfront area in Oakville, Ontario, known for recreational boating, scenic views, and access to Lake Ontario.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035f9f788190a4bcfeda646fbebf completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961f0de081908e2b6bee1725b97e completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:46 p.m.