Triple

T19989523
Position Surface form Disambiguated ID Type / Status
Subject Lower Hutt E494025 entity
Predicate hasSuburb P747 FINISHED
Object Alicetown 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: Alicetown | Statement: [Lower Hutt, hasSuburb, Alicetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicetown
Context triple: [Lower Hutt, hasSuburb, Alicetown]
  • A. Alicetown chosen
    Alicetown is a residential suburb in the Hutt Valley region of the Wellington metropolitan area in New Zealand.
  • B. Keyhaven
    Keyhaven is a small coastal village in Hampshire, England, known for its sailing, salt marshes, and views across the Solent toward the Isle of Wight.
  • C. Jonquil City
    Jonquil City is a nickname for Smyrna, Georgia, highlighting the town’s abundance of bright yellow jonquil flowers that bloom each spring.
  • D. Charmhaven
    Charmhaven is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas near the shores of Lake Macquarie.
  • E. Unitedville
    Unitedville is a small village in western Belize known for its rural setting and proximity to major archaeological and natural attractions in the Cayo District.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.