Triple

T28808647
Position Surface form Disambiguated ID Type / Status
Subject Cuthah E727447 entity
Predicate politicalEntityDuringAntiquity P23483 FINISHED
Object Babylonian Empire NE NERFINISHED

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: Babylonian Empire | Statement: [Cuthah, politicalEntityDuringAntiquity, Babylonian Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalEntityDuringAntiquity
Context triple: [Cuthah, politicalEntityDuringAntiquity, Babylonian Empire]
  • A. countryDuringAntiquity
    Indicates that an entity functioned as a country or political territory specifically during the historical period of antiquity.
  • B. governedInAntiquityBy
    Indicates that one entity exercised political rule or authority over another entity during ancient or classical historical periods.
  • C. ancientStates chosen
    Indicates that the related entity functioned as a state or political entity in ancient times.
  • D. ancientPolisCenter
    Indicates that a location functioned as the central urban, political, or social hub of an ancient polis (city-state).
  • E. ancientCity
    Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
  • 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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:30 a.m.