Triple

T5038072
Position Surface form Disambiguated ID Type / Status
Subject Somali Acacia–Commiphora bushlands and thickets E113473 entity
Predicate hasHumanPressure P60948 FINISHED
Object high in accessible areas 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: high in accessible areas | Statement: [Somali Acacia–Commiphora bushlands and thickets, hasHumanPressure, high in accessible areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHumanPressure
Context triple: [Somali Acacia–Commiphora bushlands and thickets, hasHumanPressure, high in accessible areas]
  • A. hasPressureSphere
    Indicates a relationship where an entity possesses or is associated with a defined region or volume characterized by a specific pressure condition.
  • B. pressureCapability
    Indicates the maximum pressure an entity can safely exert, withstand, or operate under within a given context.
  • C. pressureType
    Indicates the specific category or kind of pressure associated with an entity or interaction.
  • D. facedPressureFrom
    Indicates that one entity experienced coercion, influence, or stress exerted by another entity to act or decide in a certain way.
  • E. surfacePressure
    Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
  • F. None of above. chosen

Provenance (4 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73daaa788190b670f6c328bfa44f completed March 20, 2026, 4:20 p.m.
PD Predicate disambiguation batch_69bd71529d608190a53470ba6c14bb1d completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd73617f348190b2fa68a0ef4fc7b1 completed March 20, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:37 p.m.