Triple

T2888484
Position Surface form Disambiguated ID Type / Status
Subject Helgoland E59562 entity
Predicate repopulated P18106 FINISHED
Object 1952 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: 1952 | Statement: [Helgoland, repopulated, 1952]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: repopulated
Context triple: [Helgoland, repopulated, 1952]
  • A. repopulationMethod
    Indicates the method or process by which a population is restored, replenished, or re-established after reduction or depletion.
  • B. reintroduced chosen
    Indicates that an entity that was previously removed, extinct, or absent has been brought back or restored to a place, context, or state.
  • C. recreated
    Indicates that an entity has been created again or restored, typically after being removed, destroyed, or significantly altered.
  • D. reincorporated
    Indicates that an entity has been formed again or brought back into existence as a corporation after having previously ceased or changed its corporate status.
  • E. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04918908190aad08defd1b26d97 completed March 7, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69abdd15cbf08190bf7fea5ea516848a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.