Triple

T10019359
Position Surface form Disambiguated ID Type / Status
Subject Jakarta Persistence E200575 entity
Predicate abbreviation P43 FINISHED
Object JPA E200590 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: JPA | Statement: [Jakarta Persistence, abbreviation, JPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JPA
Context triple: [Jakarta Persistence, abbreviation, JPA]
  • A. Java Persistence API chosen
    Java Persistence API is a Java specification that standardizes object-relational mapping and data persistence for Java applications, enabling developers to manage relational data using plain Java objects.
  • B. Jakarta Persistence
    Jakarta Persistence is a Jakarta EE specification that defines a standard API for managing relational data persistence in Java applications using object-relational mapping (ORM).
  • C. Jhiben Hot Spring
    Jhiben Hot Spring is a popular hot spring resort area in southeastern Taiwan known for its natural thermal waters, scenic mountain surroundings, and spa facilities.
  • D. CCJPA
    CCJPA is a regional public agency that manages and oversees the Capitol Corridor intercity passenger rail service in Northern California.
  • E. JDBC
    JDBC (Java Database Connectivity) is a Java-based API that enables applications to connect to and interact with relational databases in a standardized way.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aaa38188190aed8c18eccd8a79d completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.