Triple

T1535361
Position Surface form Disambiguated ID Type / Status
Subject Harry A. Gampel Pavilion E32537 entity
Predicate campusRole P29581 FINISHED
Object major student gathering place 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: major student gathering place | Statement: [Harry A. Gampel Pavilion, campusRole, major student gathering place]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: campusRole
Context triple: [Harry A. Gampel Pavilion, campusRole, major student gathering place]
  • A. campus
    Indicates that an entity is located on, associated with, or taking place within a particular campus.
  • B. studentOrAssistant
    Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
  • C. campusType
    Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
  • D. formerCampus
    Indicates that an entity was once located on or associated with a particular campus, but is no longer based there.
  • E. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69a915f1694081908f87b509eda1309f completed March 5, 2026, 5:34 a.m.
Created at: March 4, 2026, 7:26 p.m.