Triple

T31151306
Position Surface form Disambiguated ID Type / Status
Subject St. Marcellinus Secondary School E794078 entity
Predicate hasGuidanceDepartment P171199 FINISHED
Object yes 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: yes | Statement: [St. Marcellinus Secondary School, hasGuidanceDepartment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGuidanceDepartment
Context triple: [St. Marcellinus Secondary School, hasGuidanceDepartment, yes]
  • A. providesGuidanceTo
    Indicates that one entity offers direction, advice, or instruction to another entity.
  • B. supportsDepartment
    Indicates that one entity provides assistance, resources, or backing to a specific department.
  • C. departmentServed
    Indicates that an entity provides service or support to a particular department.
  • D. canBeGuidedTo
    Indicates that one entity is capable of being directed, led, or steered toward another entity, state, or destination.
  • E. hasGuideline
    Indicates that one entity is governed, informed, or constrained by a rule, standard, or recommended procedure provided by another entity.
  • 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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c6f01e881908fa84f5d429d37ae completed May 3, 2026, 12:53 a.m.
PD Predicate disambiguation batch_69f69665cd9c819088c388fc82fec42e completed May 3, 2026, 12:27 a.m.
PDg Predicate description generation batch_69f69c2127088190ae92c72461576d3b completed May 3, 2026, 12:51 a.m.
Created at: April 29, 2026, 9:06 p.m.