Triple

T16906787
Position Surface form Disambiguated ID Type / Status
Subject Hebrew letter Ayin E424583 entity
Predicate hasBlock P20311 FINISHED
Object Hebrew Unicode block E142695 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: Hebrew Unicode block | Statement: [Hebrew letter Ayin, hasBlock, Hebrew Unicode block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebrew Unicode block
Context triple: [Hebrew letter Ayin, hasBlock, Hebrew Unicode block]
  • A. Unicode Hebrew block chosen
    The Unicode Hebrew block is a range of code points in the Unicode standard that encodes the Hebrew alphabet along with its associated diacritics and cantillation marks for digital text representation.
  • B. Unicode Basic Latin block
    The Unicode Basic Latin block is the foundational set of 128 characters in Unicode that corresponds to the standard ASCII repertoire, including basic letters, digits, and common punctuation used in English and many other languages.
  • C. Unicode Cyrillic block
    The Unicode Cyrillic block is a range of code points in the Unicode Standard that encodes Cyrillic script characters used by numerous languages across Eastern Europe and Central Asia.
  • D. Myanmar Unicode block
    The Myanmar Unicode block is a range of Unicode code points that encodes characters used for writing the Burmese language and several related scripts of Myanmar, including Karen.
  • E. Unicode bidirectional algorithm
    The Unicode bidirectional algorithm is a core text-processing method that determines the correct display order of mixed left-to-right and right-to-left scripts, such as Latin and Arabic, in digital text.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b7b698819081d2e39976b69587 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.