Triple

T5012876
Position Surface form Disambiguated ID Type / Status
Subject Hutt River E112667 entity
Predicate mouthLocation P417 FINISHED
Object Lower Hutt
Lower Hutt is a city in the Wellington region of New Zealand, situated on the shores of Wellington Harbour and known as one of the country’s major urban centers.
 E494025 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: Lower Hutt | Statement: [Hutt River, mouthLocation, Lower Hutt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lower Hutt
Context triple: [Hutt River, mouthLocation, Lower Hutt]
  • A. Palmerston North
    Palmerston North is a major inland city in New Zealand known for its role as an educational and logistical hub, particularly home to Massey University.
  • B. Otahuhu
    Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
  • C. Pukekohe
    Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
  • D. Tauranga
    Tauranga is a major coastal city and port in the Bay of Plenty region of New Zealand, known for its beaches, harbor, and growing economic and tourism sectors.
  • E. Māngere
    Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
  • 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: Lower Hutt
Triple: [Hutt River, mouthLocation, Lower Hutt]
Generated description
Lower Hutt is a city in the Wellington region of New Zealand, situated on the shores of Wellington Harbour and known as one of the country’s major urban centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lower Hutt
Target entity description: Lower Hutt is a city in the Wellington region of New Zealand, situated on the shores of Wellington Harbour and known as one of the country’s major urban centers.
  • A. Palmerston North
    Palmerston North is a major inland city in New Zealand known for its role as an educational and logistical hub, particularly home to Massey University.
  • B. Otahuhu
    Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
  • C. Pukekohe
    Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
  • D. Tauranga
    Tauranga is a major coastal city and port in the Bay of Plenty region of New Zealand, known for its beaches, harbor, and growing economic and tourism sectors.
  • E. Māngere
    Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba57f8fc8190a0476856fba8bb76 completed March 21, 2026, 3:33 p.m.
NEDg Description generation batch_69bebc0907fc8190904f5e0f63b6213f completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebc5a79608190bad0fdd6e5a099ef completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:35 p.m.