Triple

T3831418
Position Surface form Disambiguated ID Type / Status
Subject Deutsches SOFIA Institut E91019 entity
Predicate roleInSOFIA P52244 FINISHED
Object scientific operations support 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: scientific operations support | Statement: [Deutsches SOFIA Institut, roleInSOFIA, scientific operations support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInSOFIA
Context triple: [Deutsches SOFIA Institut, roleInSOFIA, scientific operations support]
  • A. roleInBerlinOperation
    Indicates that one entity participated in the Berlin operation with a specific role or function in relation to another entity or the operation itself.
  • B. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • C. ICAORole
    Indicates a role or function that an entity holds within the context of ICAO (International Civil Aviation Organization) activities, structures, or regulations.
  • D. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • E. hasCityRole
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb86207c81908f40a01fe27f6a0b completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:17 p.m.