Triple

T38232370
Position Surface form Disambiguated ID Type / Status
Subject American Society of Anesthesiologists E1013522 entity
Predicate uses P98 FINISHED
Object ASA Physical Status Classification System
The ASA Physical Status Classification System is a preoperative scale used by anesthesiologists to categorize a patient’s overall health and surgical risk.
 E2261544 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: ASA Physical Status Classification System | Statement: [American Society of Anesthesiologists, uses, ASA Physical Status Classification System]
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: ASA Physical Status Classification System
Triple: [American Society of Anesthesiologists, uses, ASA Physical Status Classification System]
Generated description
The ASA Physical Status Classification System is a preoperative scale used by anesthesiologists to categorize a patient’s overall health and surgical risk.

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_69f76dd72a248190a5fe18db2bd1eb15 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb165a0a081908269548751e3dc35 completed May 7, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41855954a4819093c4911a57958e15 completed June 28, 2026, 8:34 p.m.
NEDg Description generation batch_6a41883694c08190b8499590442e9640 completed June 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a4188a897b481909e2b79a47cc4740b completed June 28, 2026, 8:48 p.m.
Created at: May 3, 2026, 4:30 p.m.