Triple

T24496587
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, National Autonomous University of Mexico E617810 entity
Predicate subdivisionOf P258 FINISHED
Object UNAM health sciences area
The UNAM health sciences area is the academic division of the National Autonomous University of Mexico that encompasses its faculties and schools dedicated to medicine, nursing, dentistry, and related health disciplines.
E1638075 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: UNAM health sciences area | Statement: [Faculty of Medicine, National Autonomous University of Mexico, subdivisionOf, UNAM health sciences area]
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: UNAM health sciences area
Triple: [Faculty of Medicine, National Autonomous University of Mexico, subdivisionOf, UNAM health sciences area]
Generated description
The UNAM health sciences area is the academic division of the National Autonomous University of Mexico that encompasses its faculties and schools dedicated to medicine, nursing, dentistry, and related health 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a7fa1a088190800b1303ee07c1d0 completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee85465081908fa7bbf711669b95 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fefc529bc8190981de2ee2645b6ac completed May 22, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff097dd8881908bb83d84a6581ef7 completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:22 a.m.