Triple

T640680
Position Surface form Disambiguated ID Type / Status
Subject Hebrew alphabet E16731 entity
Predicate hasChronology P4238 FINISHED
Object ancient 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 | Statement: [Hebrew alphabet, hasChronology, ancient]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChronology
Context triple: [Hebrew alphabet, hasChronology, ancient]
  • A. chronologicalFunction
    Indicates a temporal relationship where one event or state functions to order, structure, or position another within a sequence of time.
  • B. isHistoric chosen
    Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
  • C. chronologicalPosition
    Indicates the relative ordering of one event or entity in time with respect to another.
  • D. chronologicallyAfter
    Indicates that one event or state occurs later in time than another.
  • E. hasHistoricalShiftTo
    Indicates a change over time in which one state, condition, or configuration is replaced or transformed into another in a historically traceable way.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f0189b08190a584b744f36fa761 completed March 1, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69a49d0830008190a26ee158ed4dd1fe completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.