Triple

T22050361
Position Surface form Disambiguated ID Type / Status
Subject Unicode 3.1 E544865 entity
Predicate addsBlock P62553 FINISHED
Object Shavian block NE NERFINISHED

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: Shavian block | Statement: [Unicode 3.1, addsBlock, Shavian block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shavian block
Context triple: [Unicode 3.1, addsBlock, Shavian block]
  • A. Shavian block chosen
    The Shavian block is a range of Unicode characters used to represent the Shavian alphabet, a phonetic writing system designed for English.
  • B. Shavian script
    The Shavian script is a phonetic alphabet created in the mid-20th century for writing English more consistently and efficiently than the Latin alphabet.
  • C. Shavian
    Shavian is an alternative phonetic alphabet for English designed to provide a more consistent and efficient spelling system than the traditional Latin script.
  • D. Valyrian script
    Valyrian script is a fictional writing system from the world of Game of Thrones, used to represent the languages of the ancient Valyrian civilization.
  • E. Cypriot Syllabary block
    The Cypriot Syllabary block is a range of Unicode characters representing the ancient syllabic writing system used on Cyprus for writing Greek and other languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128323fb08190b9592fd08a96cba0 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.