Triple

T31118147
Position Surface form Disambiguated ID Type / Status
Subject Byzantine Papacy E793148 entity
Predicate hasSecondaryPowerCenter P150632 FINISHED
Object Constantinople 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: Constantinople | Statement: [Byzantine Papacy, hasSecondaryPowerCenter, Constantinople]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecondaryPowerCenter
Context triple: [Byzantine Papacy, hasSecondaryPowerCenter, Constantinople]
  • A. hasSecondaryCenter chosen
    Indicates that an entity possesses an additional, subordinate or auxiliary center beyond its primary center.
  • B. hasSecondaryStation
    Indicates that an entity is associated with an additional, subordinate, or backup station beyond its primary one.
  • C. hasCorePower
    Indicates that an entity possesses a primary or fundamental power, ability, or capability that defines its essential function or role.
  • D. hasPowerRegulator
    Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
  • E. hasCentralUnit
    Indicates that an entity possesses or is associated with a primary controlling or coordinating unit.
  • 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_69f224d0a7688190af3fe3e6e26d01ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fed83b1d188190a318b0ad3003200a completed May 9, 2026, 6:46 a.m.
PD Predicate disambiguation batch_69fed78e03548190b6e6ad93ae8d131d completed May 9, 2026, 6:43 a.m.
Created at: April 29, 2026, 9:04 p.m.