Triple

T38537975
Position Surface form Disambiguated ID Type / Status
Subject Count Palatine E924750 entity
Predicate typicalTerritory P206516 FINISHED
Object county palatine 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: county palatine | Statement: [Count Palatine, typicalTerritory, county palatine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTerritory
Context triple: [Count Palatine, typicalTerritory, county palatine]
  • A. territoryType
    Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
  • B. typicalRegionType
    Indicates that a region is of a characteristic or commonly occurring type for a given context or entity.
  • C. territoryCorrespondedTo
    Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
  • D. definedTerritoryOf
    Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
  • E. primaryTerritory
    Indicates that a specified area or region is the main or most important territory associated with an entity.
  • 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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c85e308819083dd67b96f457659 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:32 p.m.