Triple

T25864441
Position Surface form Disambiguated ID Type / Status
Subject Ignacio Ellacuría, S.J. Chair of Catholic Social Thought at Georgetown University E651572 entity
Predicate hostInstitutionUnit P1488 FINISHED
Object College of Arts & Sciences (Georgetown University)
The College of Arts & Sciences at Georgetown University is the university’s largest and oldest undergraduate school, offering a broad liberal arts education grounded in Jesuit values across the humanities, social sciences, and natural sciences.
 E1696110 NE FINISHED

How this triple was built (3 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: College of Arts & Sciences (Georgetown University) | Statement: [Ignacio Ellacuría, S.J. Chair of Catholic Social Thought at Georgetown University, hostInstitutionUnit, College of Arts & Sciences (Georgetown University)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: College of Arts & Sciences (Georgetown University)
Triple: [Ignacio Ellacuría, S.J. Chair of Catholic Social Thought at Georgetown University, hostInstitutionUnit, College of Arts & Sciences (Georgetown University)]
Generated description
The College of Arts & Sciences at Georgetown University is the university’s largest and oldest undergraduate school, offering a broad liberal arts education grounded in Jesuit values across the humanities, social sciences, and natural sciences.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hostInstitutionUnit
Context triple: [Ignacio Ellacuría, S.J. Chair of Catholic Social Thought at Georgetown University, hostInstitutionUnit, College of Arts & Sciences (Georgetown University)]
  • A. hostsInstitution
    Indicates that one entity serves as the hosting location or organizing body for an institution.
  • B. organizingUnit
    Indicates that one entity functions as the administrative or structural unit responsible for organizing, managing, or overseeing another entity or activity.
  • C. centralInstitutionOf
    Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
  • D. homeInstitutionAbbreviation
    Indicates that an entity is associated with a home institution identified by a specific abbreviated name or code.
  • E. hasAcademicUnit chosen
    Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
  • F. None of above.

Provenance (6 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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6026ddccc8190a7d7cc460a5ede96 completed May 2, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da42007c8190809153f87c4bbbd7 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dd2be63c81908ff7302a64a77f5b completed May 22, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a10dd9253dc8190953e338790d93283 completed May 22, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69f4a0fed15881909b789251fe5d8d45 completed May 1, 2026, 12:47 p.m.
Created at: April 22, 2026, 8:06 a.m.