Triple

T28283615
Position Surface form Disambiguated ID Type / Status
Subject Anáhuac University Network E713218 entity
Predicate hasPart P35 FINISHED
Object Universidad Anáhuac Morelia
Universidad Anáhuac Morelia is a private Catholic higher education institution in Morelia, Mexico, known for its professional programs and affiliation with the nationwide Anáhuac University Network.
E1861716 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: Universidad Anáhuac Morelia | Statement: [Anáhuac University Network, hasPart, Universidad Anáhuac Morelia]
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: Universidad Anáhuac Morelia
Triple: [Anáhuac University Network, hasPart, Universidad Anáhuac Morelia]
Generated description
Universidad Anáhuac Morelia is a private Catholic higher education institution in Morelia, Mexico, known for its professional programs and affiliation with the nationwide Anáhuac University Network.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6447df07c8190bbbd284a8386c02e completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8323f548190a280bbba933bb224 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25acb956e0819081699c2a218afbc8 completed June 7, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a25b146e9d0819086b956ae8ea30aab completed June 7, 2026, 5:58 p.m.
Created at: April 27, 2026, 11:24 p.m.