Triple

T28527139
Position Surface form Disambiguated ID Type / Status
Subject Linb E721936 entity
Predicate scriptAgeClassification P110301 FINISHED
Object ancient script 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: ancient script | Statement: [Linb, scriptAgeClassification, ancient script]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptAgeClassification
Context triple: [Linb, scriptAgeClassification, ancient script]
  • A. hasAgeClassification chosen
    Indicates that an entity is associated with a specific age-based category or grouping.
  • B. ageSystem
    Indicates a relationship where one entity specifies or uses a particular system or standard for expressing age (e.g., calendar system, counting convention, or age-measurement method) for another entity.
  • C. hasApproximateAgeRange
    Indicates that one entity is associated with another entity representing an estimated or non-exact span of ages.
  • D. ageType
    Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
  • E. ageStatus
    Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
  • 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_69f01a5d7ec88190ada2d5be7c06c35d completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 28, 2026, 3:25 a.m.