Triple

T7898500
Position Surface form Disambiguated ID Type / Status
Subject EJS E183390 entity
Predicate abbreviation P43 FINISHED
Object EJS E183390 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: EJS | Statement: [EJS, abbreviation, EJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EJS
Context triple: [EJS, abbreviation, EJS]
  • A. EJS chosen
    EJS (Embedded JavaScript) is a simple templating language that lets you generate HTML markup with plain JavaScript code.
  • B. jade template engine (now Pug)
    Jade (now known as Pug) is a high-performance, whitespace-sensitive templating engine for Node.js and web applications that uses a concise, indentation-based syntax to generate HTML.
  • C. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • D. Jakarta Expression Language
    Jakarta Expression Language is a Java-based expression language used in Jakarta EE to simplify access to application data and logic within web and enterprise components.
  • E. JES3
    JES3 is a mainframe job entry subsystem for IBM z/OS that manages and controls the scheduling, execution, and output of batch jobs across single or multiple systems.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a2ae5048190a6824d34b582c366 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.