Triple

T27542045
Position Surface form Disambiguated ID Type / Status
Subject 客家话 E695260 entity
Predicate 罗马字方案 P157446 FINISHED
Object 白话字 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: 白话字 | Statement: [客家话, 罗马字方案, 白话字]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 罗马字方案
Context triple: [客家话, 罗马字方案, 白话字]
  • A. romanStatus
    Indicates the status or condition of an entity within a Roman-specific context, such as its legal, social, or civic standing in Roman society.
  • B. exampleRomanization chosen
    Indicates that one entity is a romanized representation (in Latin script) of the other entity’s original text or name.
  • C. usesRomanNumerals
    Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
  • D. romanNomen
    Indicates that an entity has a specific Roman nomen, i.e., the clan or gens name within the traditional Roman naming system.
  • E. hasRomanName
    Indicates that an entity is associated with or known by a name derived from or used in ancient Rome.
  • 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_69ef5386c3e08190bfe33aa326e1f72b completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 1:31 p.m.