Triple

T26804136
Position Surface form Disambiguated ID Type / Status
Subject Gheorghe Asachi Technical University of Iași E671181 entity
Predicate shortName P43 FINISHED
Object Technical University of Iași
Technical University of Iași is a major Romanian public university specializing in engineering and technical sciences, located in the city of Iași.
E1836570 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: Technical University of Iași | Statement: [Gheorghe Asachi Technical University of Iași, shortName, Technical University of Iași]
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: Technical University of Iași
Triple: [Gheorghe Asachi Technical University of Iași, shortName, Technical University of Iași]
Generated description
Technical University of Iași is a major Romanian public university specializing in engineering and technical sciences, located in the city of Iași.

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_69eeb31fbd888190a82dac5822e453bc completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a1b6c348190a54a0ac2a0b463b5 completed May 2, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb731c0481909aa3925e209c2198 completed June 7, 2026, 12:29 a.m.
NEDg Description generation batch_6a24bfb0987c819089a6705bb5282c4e completed June 7, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a24c54a5d648190b33935999d8f5f04 completed June 7, 2026, 1:11 a.m.
Created at: April 27, 2026, 4:25 a.m.