Triple

T34777059
Position Surface form Disambiguated ID Type / Status
Subject Nataša Pirc Musar E1002534 entity
Predicate educatedAt P5 FINISHED
Object Faculty of Law, University of Ljubljana
The Faculty of Law, University of Ljubljana is a leading Slovenian law school renowned for training many of the country’s prominent legal experts, judges, and public officials.
 E2112079 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 Law, University of Ljubljana | Statement: [Nataša Pirc Musar, educatedAt, Faculty of Law, University of Ljubljana]
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 Law, University of Ljubljana
Triple: [Nataša Pirc Musar, educatedAt, Faculty of Law, University of Ljubljana]
Generated description
The Faculty of Law, University of Ljubljana is a leading Slovenian law school renowned for training many of the country’s prominent legal experts, judges, and public officials.

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_69f76db30a108190bb57ca95b873e5bb completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a3e846c8190a4623b0666a5b90e completed May 3, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37663f25f08190bd41e75b7a65e2c1 completed June 21, 2026, 4:19 a.m.
NEDg Description generation batch_6a3766afda04819081d321be271dc20d completed June 21, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3767983f288190874423971323fd8d completed June 21, 2026, 4:24 a.m.
Created at: May 3, 2026, 3:59 p.m.