Triple

T30444209
Position Surface form Disambiguated ID Type / Status
Subject Ho Chi Minh City University of Medicine and Pharmacy E774530 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Nursing
The Faculty of Nursing is an academic unit of Ho Chi Minh City University of Medicine and Pharmacy that trains nursing professionals and conducts education and research in nursing and healthcare.
E1915679 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 Nursing | Statement: [Ho Chi Minh City University of Medicine and Pharmacy, hasFaculty, Faculty of Nursing]
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 Nursing
Triple: [Ho Chi Minh City University of Medicine and Pharmacy, hasFaculty, Faculty of Nursing]
Generated description
The Faculty of Nursing is an academic unit of Ho Chi Minh City University of Medicine and Pharmacy that trains nursing professionals and conducts education and research in nursing and healthcare.

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_69f22493ef9c8190ae8c2afcb7f994c8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6869c15d48190be8870c750df12ed completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798c3bfd08190920588e34d2ebdbe completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279d2bfafc8190a9dca1bb15c6602d completed June 9, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a279d8d99fc8190a3a9805b65f4a1e2 completed June 9, 2026, 4:58 a.m.
Created at: April 29, 2026, 8:08 p.m.