Triple

T35029915
Position Surface form Disambiguated ID Type / Status
Subject Kazon-Nistrim E1010448 entity
Predicate resourceConcern P64698 FINISHED
Object competition for water and technology LITERAL FINISHED

How this triple was built (2 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: competition for water and technology | Statement: [Kazon-Nistrim, resourceConcern, competition for water and technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resourceConcern
Context triple: [Kazon-Nistrim, resourceConcern, competition for water and technology]
  • A. concernsProvision
    Indicates a relationship where something is about, deals with, or relates to the supplying or making available of resources, services, or necessities.
  • B. concernsRole
    Indicates that something is related or pertains specifically to a particular role or function held by an entity.
  • C. subjectOfConcernFor
    Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
  • D. targetConcern chosen
    Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
  • E. concernedRite
    Indicates that a rite, ritual, or ceremonial act is the focus or subject of concern, involvement, or relevance in the relationship.
  • F. None of above.

Provenance (3 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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ce78b508190955848e133398dc8 completed May 3, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:01 p.m.