Triple

T14288713
Position Surface form Disambiguated ID Type / Status
Subject Super Rugby Aupiki E354250 entity
Predicate team P3756 FINISHED
Object Matatū
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
E1091930 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: Matatū | Statement: [Super Rugby Aupiki, team, Matatū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matatū
Context triple: [Super Rugby Aupiki, team, Matatū]
  • A. Matigari
    Matigari is a political allegorical novel by Kenyan writer Ngũgĩ wa Thiong’o that critiques postcolonial corruption and injustice through the story of a returning freedom fighter.
  • B. Matemale
    Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
  • C. Matanvat
    Matanvat is a village where the Nese language is traditionally spoken.
  • D. Putaruru
    Putaruru is a small rural town in New Zealand’s North Island known for its forestry, farming, and proximity to the Waikato River and nearby natural attractions.
  • E. Matiu
    Matiu is a given name notably borne by Matiu Rata, a prominent New Zealand Māori politician and advocate for indigenous rights.
  • 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: Matatū
Triple: [Super Rugby Aupiki, team, Matatū]
Generated description
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matatū
Target entity description: Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
  • A. Matigari
    Matigari is a political allegorical novel by Kenyan writer Ngũgĩ wa Thiong’o that critiques postcolonial corruption and injustice through the story of a returning freedom fighter.
  • B. Matemale
    Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
  • C. Matanvat
    Matanvat is a village where the Nese language is traditionally spoken.
  • D. Putaruru
    Putaruru is a small rural town in New Zealand’s North Island known for its forestry, farming, and proximity to the Waikato River and nearby natural attractions.
  • E. Matiu
    Matiu is a given name notably borne by Matiu Rata, a prominent New Zealand Māori politician and advocate for indigenous rights.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e6dde6081908a37817e4dd22ecd completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3f42ccdc81908399d8f9a2f0da31 completed May 8, 2026, 1:41 a.m.
Created at: April 10, 2026, 1:11 a.m.