Triple

T9371690
Position Surface form Disambiguated ID Type / Status
Subject Heather E225544 entity
Predicate etymologicalSourceLanguage P506 FINISHED
Object English E211 NE FINISHED

How this triple was built (3 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: English | Statement: [Heather, etymologicalSourceLanguage, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Heather, etymologicalSourceLanguage, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • C. EN
    EN is the standard abbreviation used in Portugal for "Estrada Nacional," the national road network.
  • D. Angolalla
    Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
  • E. World English
    World English is a phonetic notation system developed by Alexander Melville Bell to represent the sounds of spoken English with precision.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: etymologicalSourceLanguage
Context triple: [Heather, etymologicalSourceLanguage, English]
  • A. etymologicalSource
    Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
  • B. etymologicalLanguage chosen
    Indicates the language from which a word or term is historically derived in its etymology.
  • C. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • D. etymologicalField
    Indicates that one term belongs to a particular semantic or conceptual domain relevant to its etymological origin or historical development.
  • E. etymologicalNote
    Indicates that there is a note explaining the origin, historical development, or source language of a term or name.
  • F. None of above.

Provenance (4 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5083cbb8819088e8cef26be1b380 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3eaf2208190967a3a8e82a4070b completed April 4, 2026, 11:20 a.m.
PD Predicate disambiguation batch_69cc7a6abb8c81908c7a2f4ee92cc949 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:43 p.m.