Triple

T12315368
Position Surface form Disambiguated ID Type / Status
Subject Hakarimata Range E293585 entity
Predicate hasFlora P3806 FINISHED
Object rimu
Rimu is a large, long-lived native New Zealand conifer tree (Dacrydium cupressinum) known for its distinctive drooping foliage and valuable reddish timber.
 E976553 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: rimu | Statement: [Hakarimata Range, hasFlora, rimu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: rimu
Context triple: [Hakarimata Range, hasFlora, rimu]
  • A. urumi
    The urumi is a traditional South Indian flexible, whip-like sword known for its multiple long, ribbon-like blades and demanding, acrobatic fighting techniques.
  • B. Shimushiru
    Shimushiru is the former Japanese name for Simushir, an uninhabited volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean.
  • C. RUMICAP
    RUMICAP is a financial data vendor code used to identify the Russell Microcap Index in market data systems.
  • D. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • E. Rikunabi
    Rikunabi is a major Japanese online job search and recruitment platform widely used by students and companies for job-hunting and hiring.
  • 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: rimu
Triple: [Hakarimata Range, hasFlora, rimu]
Generated description
Rimu is a large, long-lived native New Zealand conifer tree (Dacrydium cupressinum) known for its distinctive drooping foliage and valuable reddish timber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: rimu
Target entity description: Rimu is a large, long-lived native New Zealand conifer tree (Dacrydium cupressinum) known for its distinctive drooping foliage and valuable reddish timber.
  • A. urumi
    The urumi is a traditional South Indian flexible, whip-like sword known for its multiple long, ribbon-like blades and demanding, acrobatic fighting techniques.
  • B. Shimushiru
    Shimushiru is the former Japanese name for Simushir, an uninhabited volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean.
  • C. RUMICAP
    RUMICAP is a financial data vendor code used to identify the Russell Microcap Index in market data systems.
  • D. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • E. Rikunabi
    Rikunabi is a major Japanese online job search and recruitment platform widely used by students and companies for job-hunting and hiring.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f05186481909c024a933b4f6c60 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.