Triple

T11826628
Position Surface form Disambiguated ID Type / Status
Subject Sanggha E281274 entity
Predicate languageOfTransliteration P42524 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: [Sanggha, languageOfTransliteration, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Sanggha, languageOfTransliteration, 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: languageOfTransliteration
Context triple: [Sanggha, languageOfTransliteration, English]
  • A. transliterationLanguage chosen
    Indicates the language whose writing system is used as the target when converting text from one script to another.
  • B. transliterationTarget
    Indicates that one entity is the target script or form into which another entity is transliterated.
  • C. transliterationName
    Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
  • D. commonTransliterationSystem
    Indicates that two or more written forms are derived using the same standardized system for converting text from one script to another.
  • E. alternativeTransliteration
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13188b89c819095ba5d27de7ebbb2 completed April 28, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.