Triple

T23860594
Position Surface form Disambiguated ID Type / Status
Subject Brčko Arbitration Tribunal E592436 entity
Predicate firstPresidingArbitrator P4891 FINISHED
Object Roberts Owen NE NERFINISHED

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: Roberts Owen | Statement: [Brčko Arbitration Tribunal, firstPresidingArbitrator, Roberts Owen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstPresidingArbitrator
Context triple: [Brčko Arbitration Tribunal, firstPresidingArbitrator, Roberts Owen]
  • A. firstSupremeLeader
    Indicates that the subject is the first person to hold the position or title of supreme leader of the object entity.
  • B. firstOfficeHolder chosen
    Indicates that the subject is the very first individual to hold a particular office or position associated with the object.
  • C. hasChiefJudge
    Indicates that an entity holds the role or position of chief judge for another entity (such as a court or judicial body).
  • D. chiefJusticePresiding
    Indicates that a specified chief justice is the one formally presiding over a particular court session, case, or judicial proceeding.
  • E. firstCivilianOfficeHolder
    Indicates that the subject is the first person from a civilian (non-military) background to hold a particular office or position.
  • 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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cadf91948190bed71376e6639294 completed April 29, 2026, 9:09 a.m.
PD Predicate disambiguation batch_69f1614612b481908c45d99e588882f9 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:12 p.m.