Triple

T123755
Position Surface form Disambiguated ID Type / Status
Subject SLOSS debate E2501 entity
Predicate mainQuestion P450 FINISHED
Object whether a single large reserve or several small reserves best conserve biodiversity 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: whether a single large reserve or several small reserves best conserve biodiversity | Statement: [SLOSS debate, mainQuestion, whether a single large reserve or several small reserves best conserve biodiversity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainQuestion
Context triple: [SLOSS debate, mainQuestion, whether a single large reserve or several small reserves best conserve biodiversity]
  • A. primaryTarget
    Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
  • B. mainBase
    Indicates that one entity serves as the primary or central base or headquarters for another entity.
  • C. primaryTask
    Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
  • D. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • E. subjectMatter chosen
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573ce0ac8190b49fb31d3d475bf9 completed Feb. 28, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69a2564928208190966a619680a0d6e2 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.