Triple

T27207105
Position Surface form Disambiguated ID Type / Status
Subject Beijing University of Civil Engineering and Architecture E683893 entity
Predicate fieldOfExcellence P168943 FINISHED
Object civil engineering 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: civil engineering | Statement: [Beijing University of Civil Engineering and Architecture, fieldOfExcellence, civil engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldOfExcellence
Context triple: [Beijing University of Civil Engineering and Architecture, fieldOfExcellence, civil engineering]
  • A. fieldOfSignificance
    Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
  • B. fieldOfRecognition
    Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
  • C. featuredDiscipline
    Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
  • D. hasLaureateField
    Indicates that an entity recognized as a laureate is associated with a particular field or discipline in which the honor was awarded.
  • E. awardField
    Indicates the specific field, discipline, or category in which an award is given or recognized.
  • 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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f67866e9248190b7ba218f9ca2ae8d completed May 2, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f675fd59608190b246383435e68fce completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 27, 2026, 9:38 a.m.