Triple

T36447557
Position Surface form Disambiguated ID Type / Status
Subject Hongoeka Marae E897917 entity
Predicate hasWharekai P185512 FINISHED
Object Wharekai (dining hall)
Wharekai (dining hall) is the communal dining building at Hongoeka Marae where people gather to share meals and hospitality during marae events and ceremonies.
 E2183045 NE FINISHED

How this triple was built (3 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: Wharekai (dining hall) | Statement: [Hongoeka Marae, hasWharekai, Wharekai (dining hall)]
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: Wharekai (dining hall)
Triple: [Hongoeka Marae, hasWharekai, Wharekai (dining hall)]
Generated description
Wharekai (dining hall) is the communal dining building at Hongoeka Marae where people gather to share meals and hospitality during marae events and ceremonies.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWharekai
Context triple: [Hongoeka Marae, hasWharekai, Wharekai (dining hall)]
  • A. isMahingaKaiFor
    Indicates a relationship where something serves as a traditional food-gathering or resource site for someone or a group (i.e., it functions as mahinga kai for them).
  • B. haveCuisine
    Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
  • C. hasWharenui
    Indicates a relationship where an entity possesses or is associated with a wharenui (a Māori meeting house).
  • D. hasFoodOption
    Indicates that an entity offers, provides, or includes a particular type of food or dining option.
  • E. hasCuisineItem
    Indicates that a particular cuisine includes, features, or is associated with a specific food item.
  • F. None of above. chosen

Provenance (7 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_69f76e5720b481908f8177ac24a7560b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c422b97c81908377120a025a66e8 completed June 22, 2026, 11:24 p.m.
NEDg Description generation batch_6a39c49dc36c8190b6791483ee8a7e31 completed June 22, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39c52475348190a171242f4714705d completed June 22, 2026, 11:28 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
PDg Predicate description generation batch_69f7be9b9ab481908328e0e8d8ac73d4 completed May 3, 2026, 9:31 p.m.
Created at: May 3, 2026, 4:10 p.m.