Triple

T23948580
Position Surface form Disambiguated ID Type / Status
Subject Mbanza-Ngungu E602979 entity
Predicate hasNearbyKarstFeature P73138 FINISHED
Object limestone caves 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: limestone caves | Statement: [Mbanza-Ngungu, hasNearbyKarstFeature, limestone caves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyKarstFeature
Context triple: [Mbanza-Ngungu, hasNearbyKarstFeature, limestone caves]
  • A. karstFeature
    Indicates a relationship where a geographic entity is identified as, or associated with, a karst-related landform or feature formed by the dissolution of soluble rocks.
  • B. isKarstCave
    Indicates that a cave is formed primarily through the dissolution of soluble rocks (such as limestone), characterizing it as a karst-type cave.
  • C. hasNearbyCave chosen
    Indicates that one entity is located close to or in the vicinity of a cave associated with another entity.
  • D. hasKarstTowerFormations
    Indicates that the subject possesses or contains karst tower landforms, typically steep or vertical limestone pillars formed by dissolution and erosion.
  • E. hasMineralFeature
    Indicates that one entity possesses, contains, or is characterized by a specific mineral-related feature or attribute.
  • 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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d03067348190a2cccb809ebdc0ad completed April 29, 2026, 9:32 a.m.
PD Predicate disambiguation batch_69f1615518088190a206f54e2fdb14a3 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:18 p.m.