Triple

T2341458
Position Surface form Disambiguated ID Type / Status
Subject Coptic script E45035 entity
Predicate hasScriptFamily P5793 FINISHED
Object Greek script family LITERAL 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: Greek script family | Statement: [Coptic script, hasScriptFamily, Greek script family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptFamily
Context triple: [Coptic script, hasScriptFamily, Greek script family]
  • A. scriptFamily chosen
    Indicates that one writing system belongs to the same broader script group or classification as another.
  • B. containsScript
    Indicates that one entity includes or embeds the script of another entity within it.
  • C. hasScriptStatus
    Indicates that an entity has a particular script-related state or condition, such as whether a script is present, active, or in a given status.
  • D. usesScriptDerivedFrom
    Indicates that one entity employs a writing system that is historically or structurally derived from the script used by another entity.
  • E. hasUnicodeScript
    Indicates that a character or text element belongs to a specific Unicode script category (such as Latin, Cyrillic, or Han).
  • F. None of above.

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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abcade3c808190ab3803538ccbe620 completed March 7, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69abc59616a8819099711834e6f1ccd6 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:52 p.m.