Triple

T29886337
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, University of Amsterdam E759022 entity
Predicate hasDepartment P35 FINISHED
Object Institute of Physics
The Institute of Physics is a research and teaching institute within the University of Amsterdam focused on advancing fundamental and applied physics.
 E1888846 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: Institute of Physics | Statement: [Faculty of Science, University of Amsterdam, hasDepartment, Institute of Physics]
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: Institute of Physics
Triple: [Faculty of Science, University of Amsterdam, hasDepartment, Institute of Physics]
Generated description
The Institute of Physics is a research and teaching institute within the University of Amsterdam focused on advancing fundamental and applied physics.

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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676fdaee481908b38890b2e8aaf4b completed May 2, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1ddf2b88190b216111b33397d34 completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f31d6d088190980cb60d9ea41d4d completed June 8, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a26f4247b04819084468924f9da4df4 completed June 8, 2026, 4:56 p.m.
Created at: April 29, 2026, 6 p.m.