Triple

T25657071
Position Surface form Disambiguated ID Type / Status
Subject Fort Kongensten E643264 entity
Predicate politicalStatusAtConstruction P163844 FINISHED
Object part of Danish colonial empire 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: part of Danish colonial empire | Statement: [Fort Kongensten, politicalStatusAtConstruction, part of Danish colonial empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalStatusAtConstruction
Context triple: [Fort Kongensten, politicalStatusAtConstruction, part of Danish colonial empire]
  • A. politicalStatusContext
    Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
  • B. isPoliticalStatus
    Indicates that a relationship specifies the political condition, classification, or standing associated with an entity.
  • C. politicalStatusAtEnd
    Indicates the political status or condition an entity holds at the conclusion of a specified event or time period.
  • D. politicalStatusBefore
    Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
  • E. politicalStatusOfOccupant
    Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
  • 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_69e77e7d8a848190a98d0162325fd780 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6416fbf4081909b0913c337927fc4 completed May 2, 2026, 6:24 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
PDg Predicate description generation batch_69f63fd4f7448190930c723ba7cfce62 completed May 2, 2026, 6:17 p.m.
Created at: April 21, 2026, 6:35 p.m.