Triple

T2688781
Position Surface form Disambiguated ID Type / Status
Subject Canterbury E57546 entity
Predicate containsTown P847 FINISHED
Object Kaiapoi E143770 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: Kaiapoi | Statement: [Canterbury, containsTown, Kaiapoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiapoi
Context triple: [Canterbury, containsTown, Kaiapoi]
  • A. Kaiapoi chosen
    Kaiapoi is a town in the Waimakariri District of Canterbury, New Zealand, known historically as a river port and service center for the surrounding rural area.
  • B. Nuriootpa
    Nuriootpa is a major town in South Australia's Barossa Valley wine region, known as a commercial and service hub for the surrounding vineyards and wineries.
  • C. Ktaadn
    Ktaadn (commonly spelled Katahdin) is the highest mountain in Maine and a prominent wilderness peak famed for its rugged terrain and role as the northern terminus of the Appalachian Trail.
  • D. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • E. Akanānūru
    Akanānūru is a classical Tamil anthology of 400 love poems from the Sangam period, renowned for its rich portrayal of interior (akam) themes such as love, separation, and emotional life.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0741bc48190adffe6cfae831e26 completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.