Triple

T34353356
Position Surface form Disambiguated ID Type / Status
Subject Princess of Neuchâtel E881644 entity
Predicate historicalStatusOfTerritory P63456 FINISHED
Object sovereign principality 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: sovereign principality | Statement: [Princess of Neuchâtel, historicalStatusOfTerritory, sovereign principality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalStatusOfTerritory
Context triple: [Princess of Neuchâtel, historicalStatusOfTerritory, sovereign principality]
  • A. historicalTerritoryType chosen
    Indicates that a territory is classified according to a specific type or category it held during a historical period.
  • B. hasHistoricTerritory
    Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
  • C. legalStatusOfTerritoryBefore
    Indicates that a specified legal status applied to a territory during a time period preceding another referenced point or event.
  • D. historicalStatusOfRegion
    Indicates the historical political or administrative status that a region held during a specific past period.
  • E. hasHistoricalTerritoryNear
    Indicates that an entity historically controlled or claimed territory in geographic proximity to another specified location or region.
  • 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_69f349bd06008190904c2f86c42749e3 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a005e8a2f7c819085bfc6f04b866d87 completed May 10, 2026, 10:31 a.m.
PD Predicate disambiguation batch_6a005de82ef08190a015b385d1d3443c completed May 10, 2026, 10:28 a.m.
Created at: May 1, 2026, 1:58 a.m.