Triple

T1996688
Position Surface form Disambiguated ID Type / Status
Subject East African Court of Justice E43374 entity
Predicate settles P29943 FINISHED
Object disputes involving interpretation of the EAC Treaty 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: disputes involving interpretation of the EAC Treaty | Statement: [East African Court of Justice, settles, disputes involving interpretation of the EAC Treaty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settles
Context triple: [East African Court of Justice, settles, disputes involving interpretation of the EAC Treaty]
  • A. settled
    Indicates that an entity established residence or a stable presence in a place, typically after moving from elsewhere.
  • B. settlementWith chosen
    Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
  • C. servesSettlement
    Indicates that one entity provides services or support to a particular settlement or community.
  • D. situates
    Indicates that one entity places or locates another entity within a particular spatial, contextual, or conceptual setting.
  • E. hasHumanSettlement
    Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb79c97d48190b3147430ed39faa9 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.