Triple

T19989521
Position Surface form Disambiguated ID Type / Status
Subject Lower Hutt E494025 entity
Predicate hasSuburb P747 FINISHED
Object Naenae 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: Naenae | Statement: [Lower Hutt, hasSuburb, Naenae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naenae
Context triple: [Lower Hutt, hasSuburb, Naenae]
  • A. Naenae chosen
    Naenae is a residential suburb in Lower Hutt, New Zealand, known for its post-war state housing, community facilities, and proximity to central Hutt City.
  • B. Nalae
    Nalae is a rural district in northern Laos known for its ethnic diversity, forested landscapes, and traditional village life.
  • C. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • D. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • E. Nain
    Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
  • 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.