Triple

T23630531
Position Surface form Disambiguated ID Type / Status
Subject AUB faculty E583592 entity
Predicate employedAt P17879 FINISHED
Object AUB Faculty of Engineering and Architecture
AUB Faculty of Engineering and Architecture is an academic division of the American University of Beirut offering undergraduate and graduate programs in engineering, architecture, and related disciplines.
E1592810 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: AUB Faculty of Engineering and Architecture | Statement: [AUB faculty, employedAt, AUB Faculty of Engineering and Architecture]
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: AUB Faculty of Engineering and Architecture
Triple: [AUB faculty, employedAt, AUB Faculty of Engineering and Architecture]
Generated description
AUB Faculty of Engineering and Architecture is an academic division of the American University of Beirut offering undergraduate and graduate programs in engineering, architecture, and related disciplines.

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_69e248fc8d74819091bd5baef2f36f6f completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e7db1c8190aa11ce84fb84d7ef completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f459eb53081908a35c47da2c9680a completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f468e0fb88190b3dc9ee15309dea1 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f476e8eb88190a895453552c92b9a completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:47 p.m.