Triple

T3983037
Position Surface form Disambiguated ID Type / Status
Subject JS E86803 entity
Predicate hasAbbreviation P43 FINISHED
Object JS E86803 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: JS | Statement: [JS, hasAbbreviation, JS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JS
Context triple: [JS, hasAbbreviation, JS]
  • A. JS chosen
    JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
  • B. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • C. JQ
    JQ is the IATA airline designator used by Jetstar Airways, a major Australian low-cost carrier.
  • D. ECMAScript
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • E. DOM
    DOM is the three-letter ISO 3166-1 alpha-3 country code assigned to the Dominican Republic.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.