Triple

T33073248
Position Surface form Disambiguated ID Type / Status
Subject Termez State University E846290 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Physical Education
The Faculty of Physical Education is an academic division specializing in training students in sports science, physical training, and related pedagogical disciplines within Termez State University.
 E2034743 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 Physical Education | Statement: [Termez State University, hasFaculty, Faculty of Physical Education]
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 Physical Education
Triple: [Termez State University, hasFaculty, Faculty of Physical Education]
Generated description
The Faculty of Physical Education is an academic division specializing in training students in sports science, physical training, and related pedagogical disciplines within Termez State University.

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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d3b02a2481908c5433f6d3e19f14 completed May 3, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e52bc60081909da7b120d3f8aac7 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e745d9f88190add6757d17a4ecc3 completed June 19, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a34e7dd852c819080a185c47fc0aa02 completed June 19, 2026, 6:55 a.m.
Created at: May 1, 2026, 1:25 a.m.