Triple

T36257532
Position Surface form Disambiguated ID Type / Status
Subject Renseneb E891979 entity
Predicate historicalResearchStatus P99875 FINISHED
Object subject of Egyptological debate 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: subject of Egyptological debate | Statement: [Renseneb, historicalResearchStatus, subject of Egyptological debate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalResearchStatus
Context triple: [Renseneb, historicalResearchStatus, subject of Egyptological debate]
  • A. historicalStatusOf
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • B. hasResearchStatus
    Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
  • C. historiographicalStatus chosen
    Indicates the recognized standing or classification of something within historical writing or scholarship, such as how it is interpreted, debated, or valued by historians.
  • D. historicalResearchTopic
    Indicates that an entity is the subject or focus of historical research or scholarly historical investigation.
  • E. hasResearchHistory
    Indicates that an entity has a documented record of past research activities, projects, or studies.
  • 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_69f76e4599108190811532e707d6bc2c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a011d76f3f88190be3d7c9eb0552f34 completed May 11, 2026, 12:06 a.m.
PD Predicate disambiguation batch_6a011cce684881909dd15776bb77a6e0 completed May 11, 2026, 12:03 a.m.
Created at: May 3, 2026, 4:09 p.m.