Triple

T38417401
Position Surface form Disambiguated ID Type / Status
Subject USOAP E903134 entity
Predicate hasComponent P35 FINISHED
Object USOAP Continuous Monitoring Approach
The USOAP Continuous Monitoring Approach is an ICAO framework that continuously assesses and monitors member states’ aviation safety oversight systems to ensure ongoing compliance with international safety standards.
 E2269462 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: USOAP Continuous Monitoring Approach | Statement: [USOAP, hasComponent, USOAP Continuous Monitoring Approach]
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: USOAP Continuous Monitoring Approach
Triple: [USOAP, hasComponent, USOAP Continuous Monitoring Approach]
Generated description
The USOAP Continuous Monitoring Approach is an ICAO framework that continuously assesses and monitors member states’ aviation safety oversight systems to ensure ongoing compliance with international safety standards.

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_69f76e67e4fc8190a7d08dfe9a8af998 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd85e9e08190af359c68b10107ac completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c287b31c8190b6e6696bd76eb86e completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3dac6ec81909231576db0b9808d completed June 29, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a41c481f72c8190b44745166b1bb8c4 completed June 29, 2026, 1:04 a.m.
Created at: May 3, 2026, 4:31 p.m.