Triple

T1533367
Position Surface form Disambiguated ID Type / Status
Subject Sabellius E32494 entity
Predicate writingsStatus P29557 FINISHED
Object original writings lost 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: original writings lost | Statement: [Sabellius, writingsStatus, original writings lost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingsStatus
Context triple: [Sabellius, writingsStatus, original writings lost]
  • A. writingSectionStatus
    Indicates the current state or progress of a specific writing section within a larger document or workflow.
  • B. writingSystemStatus
    Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
  • C. draftStatus
    Indicates the current stage or condition of an item within a drafting or revision process (e.g., whether it is in draft, under review, or finalized).
  • D. areWrittenOn
    Indicates that one entity serves as a surface or medium on which another entity is inscribed, recorded, or written.
  • E. hasWrittenFor
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • F. None of above. chosen

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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69a915f1694081908f87b509eda1309f completed March 5, 2026, 5:34 a.m.
Created at: March 4, 2026, 7:26 p.m.