Triple

T36860099
Position Surface form Disambiguated ID Type / Status
Subject Technische Hochschule Mittelhessen E910907 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Computer Science
The Faculty of Computer Science is an academic division of Technische Hochschule Mittelhessen specializing in education and research in computer science and related information technologies.
E2200607 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 Computer Science | Statement: [Technische Hochschule Mittelhessen, hasFaculty, Faculty of Computer Science]
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 Computer Science
Triple: [Technische Hochschule Mittelhessen, hasFaculty, Faculty of Computer Science]
Generated description
The Faculty of Computer Science is an academic division of Technische Hochschule Mittelhessen specializing in education and research in computer science and related information technologies.

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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfcf1bc881909d8f17c52c968e8f completed May 3, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde8123e48190bf6907373819ada7 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddfc240788190a65fe78106d951fa completed June 26, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a3dea739660819094f22f07ea16d5f4 completed June 26, 2026, 2:56 a.m.
Created at: May 3, 2026, 4:13 p.m.