Triple

T26650216
Position Surface form Disambiguated ID Type / Status
Subject Sovereignty over Pedra Branca case E669027 entity
Predicate outcomeForSingapore P163454 FINISHED
Object sovereignty over Pedra Branca confirmed 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: sovereignty over Pedra Branca confirmed | Statement: [Sovereignty over Pedra Branca case, outcomeForSingapore, sovereignty over Pedra Branca confirmed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outcomeForSingapore
Context triple: [Sovereignty over Pedra Branca case, outcomeForSingapore, sovereignty over Pedra Branca confirmed]
  • A. outcomeForJapan
    Indicates the result, consequence, or impact that an event, action, or situation has specifically for Japan.
  • B. outcomeOf
    Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
  • C. outcomeType
    Indicates the specific category or nature of the result produced by an event, process, or action.
  • D. outcomeOfTrial
    Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
  • E. outcomeForEnglish
    Indicates the result, consequence, or status specifically associated with something in the context of English (e.g., English language, subject, or setting).
  • 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_69ee9d00eb5481908d6c6d0ada2f0c9a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63709e4848190b5cf322e06b23fb6 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f638344b148190bf0414ef7c5f1f38 completed May 2, 2026, 5:45 p.m.
Created at: April 27, 2026, 2:32 a.m.