Triple

T6389146
Position Surface form Disambiguated ID Type / Status
Subject Lyttelton E143773 entity
Predicate MāoriName P55220 FINISHED
Object Ōhinehou
Ōhinehou is the traditional Māori name for the port town of Lyttelton in Canterbury, New Zealand.
 E589787 NE FINISHED

How this triple was built (4 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: Ōhinehou | Statement: [Lyttelton, MāoriName, Ōhinehou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ōhinehou
Context triple: [Lyttelton, MāoriName, Ōhinehou]
  • A. Onerahi
    Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
  • B. Ke‘anae
    Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
  • C. Nausori
    Nausori is a town in Fiji located near the capital Suva on the island of Viti Levu, known for its airport and role as a regional commercial center.
  • D. Ohaupo
    Ohaupo is a small rural settlement in the Waikato region of New Zealand, located just south of Hamilton and known for its farming community and village atmosphere.
  • E. Onehunga
    Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ōhinehou
Triple: [Lyttelton, MāoriName, Ōhinehou]
Generated description
Ōhinehou is the traditional Māori name for the port town of Lyttelton in Canterbury, New Zealand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ōhinehou
Target entity description: Ōhinehou is the traditional Māori name for the port town of Lyttelton in Canterbury, New Zealand.
  • A. Onerahi
    Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
  • B. Ke‘anae
    Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
  • C. Nausori
    Nausori is a town in Fiji located near the capital Suva on the island of Viti Levu, known for its airport and role as a regional commercial center.
  • D. Ohaupo
    Ohaupo is a small rural settlement in the Waikato region of New Zealand, located just south of Hamilton and known for its farming community and village atmosphere.
  • E. Onehunga
    Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
  • F. None of above. chosen

Provenance (5 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388224fc8190aabd6e6d75887367 completed March 27, 2026, 7:57 a.m.
NEDg Description generation batch_69c6397756c481909ca13339c2186c0a completed March 27, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69c63a0a4a108190b474555d8cb1540c completed March 27, 2026, 8:04 a.m.
Created at: March 22, 2026, 4:34 p.m.