Triple

T23885933
Position Surface form Disambiguated ID Type / Status
Subject Hebei University of Technology (Langfang campus) E600329 entity
Predicate partOf P40 FINISHED
Object Hebei University of Technology
Hebei University of Technology is a key public engineering-focused university in Hebei Province, China, known for its strong programs in science, technology, and applied research.
E1623539 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: Hebei University of Technology | Statement: [Hebei University of Technology (Langfang campus), partOf, Hebei University of Technology]
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: Hebei University of Technology
Triple: [Hebei University of Technology (Langfang campus), partOf, Hebei University of Technology]
Generated description
Hebei University of Technology is a key public engineering-focused university in Hebei Province, China, known for its strong programs in science, technology, and applied research.

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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ccff46208190a8de3254dabd51ab completed April 29, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcecc4348190856b64bb1c96c311 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbe09c6e4819093b71509780fcec0 completed May 22, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbed0cbc48190963e3764a8481cbf completed May 22, 2026, 2:26 a.m.
Created at: April 17, 2026, 8:24 p.m.