Triple

T35297735
Position Surface form Disambiguated ID Type / Status
Subject Pontifical Catholic University of Puerto Rico E1019417 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Sciences
The Faculty of Sciences is an academic division of the Pontifical Catholic University of Puerto Rico dedicated to education and research in scientific disciplines.
E2137209 NE 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: Faculty of Sciences | Statement: [Pontifical Catholic University of Puerto Rico, hasFaculty, Faculty of Sciences]
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: Faculty of Sciences
Triple: [Pontifical Catholic University of Puerto Rico, hasFaculty, Faculty of Sciences]
Generated description
The Faculty of Sciences is an academic division of the Pontifical Catholic University of Puerto Rico dedicated to education and research in scientific disciplines.

Provenance (5 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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7901f599c8190941cb23c676c883d completed May 3, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823bd4fe4819090bd2046518dc633 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a3824823190819085d090f2dbb608f9 completed June 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a38266c9a8c81908c041eab45f05c6f completed June 21, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:03 p.m.