Triple

T1829762
Position Surface form Disambiguated ID Type / Status
Subject EUBAM Rafah E40733 entity
Predicate missionPersonnel P12729 FINISHED
Object European Union member state experts 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: European Union member state experts | Statement: [EUBAM Rafah, missionPersonnel, European Union member state experts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: missionPersonnel
Context triple: [EUBAM Rafah, missionPersonnel, European Union member state experts]
  • A. personnelComposition chosen
    Indicates the makeup or distribution of people or roles within a group, organization, or unit.
  • B. nationalityOfPersonnel
    Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
  • C. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • D. crewInvolvedIn
    Indicates that a crew (as a group or unit) participates in, contributes to, or is otherwise involved in a specified event, activity, or operation.
  • E. specialForcesInvolved
    Indicates that special forces units participate in or are involved in the referenced action, event, or operation.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb45402688190b9a535b14030c354 completed March 7, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69abafd6a9948190ac2b2743db6f8f69 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:32 p.m.