Triple

T29482028
Position Surface form Disambiguated ID Type / Status
Subject Chatham Naval Memorial E747813 entity
Predicate worldWarIICommemorations P11046 FINISHED
Object over 10,000 names 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: over 10,000 names | Statement: [Chatham Naval Memorial, worldWarIICommemorations, over 10,000 names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldWarIICommemorations
Context triple: [Chatham Naval Memorial, worldWarIICommemorations, over 10,000 names]
  • A. commemoratesConflict chosen
    Indicates a relationship where something (such as a monument, event, or work) serves to remember, honor, or mark a specific conflict or war.
  • B. commemoratesAlliance
    Indicates a relationship where one entity honors or marks the memory of an alliance formed between two or more parties.
  • C. commemoratesForces
    Indicates a relationship where something serves to honor or remember military or armed forces for their service or sacrifice.
  • D. hasWorldWarIIAssociation
    Indicates that there is a notable connection or relevance between an entity and World War II, such as involvement, impact, or contextual association.
  • E. commemoratesFromCountry
    Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
  • 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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: April 28, 2026, 4:04 p.m.