Triple

T29620195
Position Surface form Disambiguated ID Type / Status
Subject Malawi–Tanzania border E754972 entity
Predicate disputeFocus P107087 FINISHED
Object territorial claims in Lake Malawi 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: territorial claims in Lake Malawi | Statement: [Malawi–Tanzania border, disputeFocus, territorial claims in Lake Malawi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disputeFocus
Context triple: [Malawi–Tanzania border, disputeFocus, territorial claims in Lake Malawi]
  • A. focusIssue
    Indicates that an issue, topic, or problem is the primary subject of attention or concern in a given context.
  • B. argumentFocus
    Indicates that a particular argument within a relation or event is being highlighted as the primary focus or point of emphasis.
  • C. disputeIssue chosen
    Indicates that there is a disagreement or conflict specifically concerning a particular issue or point of contention.
  • D. importFocus
    Indicates that attention, priority, or emphasis is being brought into or concentrated on a particular entity or aspect.
  • E. focusShift
    Indicates a change in attention or emphasis from one entity or topic to another.
  • 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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 28, 2026, 6:34 p.m.