Triple

T34069228
Position Surface form Disambiguated ID Type / Status
Subject Operation Moshe E873717 entity
Predicate humanitarianCharacter P43054 FINISHED
Object humanitarian rescue operation 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: humanitarian rescue operation | Statement: [Operation Moshe, humanitarianCharacter, humanitarian rescue operation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: humanitarianCharacter
Context triple: [Operation Moshe, humanitarianCharacter, humanitarian rescue operation]
  • A. hasHumanitarianAspect chosen
    Indicates that something involves, relates to, or has implications for humanitarian concerns such as human welfare, relief, or the protection of human rights.
  • B. humanitarianAccess
    Indicates that humanitarian actors are able to reach affected populations and deliver assistance safely, reliably, and without obstruction.
  • C. humanitarianAward
    Indicates that an entity has received an award or recognition for humanitarian efforts or contributions to the welfare of others.
  • D. hasHumanitarianPresence
    Indicates that a humanitarian organization or effort is present and actively operating in relation to the referenced entity.
  • E. humanitarianCrisis
    Indicates a situation in which a population faces severe, widespread threats to life, health, or basic living conditions that require urgent humanitarian assistance.
  • 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_69f349a566808190a1c63b898f33cddf completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70bccf4c88190a424809033d25e18 completed May 3, 2026, 8:48 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:52 a.m.