Triple

T8479758
Position Surface form Disambiguated ID Type / Status
Subject Ancient Near East E200484 entity
Predicate studiedByDiscipline P82843 FINISHED
Object Assyriology 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: Assyriology | Statement: [Ancient Near East, studiedByDiscipline, Assyriology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studiedByDiscipline
Context triple: [Ancient Near East, studiedByDiscipline, Assyriology]
  • A. studiedBy
    Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
  • B. widelyStudiedIn
    Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
  • C. dimensionOfStudy
    Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
  • D. isSubjectOfStudy
    Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
  • E. studiedWithin
    Indicates that one entity pursued studies or academic work within the scope, context, or boundaries defined by another entity (such as an institution, program, or field).
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5232d008190ae55b982f5fc9e8b completed March 31, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69cbd104250c8190b4c499dcc9937494 completed March 31, 2026, 1:49 p.m.
PDg Predicate description generation batch_69cbe12dd0b88190a38ec4d15dcc870b completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 6:12 p.m.