Triple

T1012763
Position Surface form Disambiguated ID Type / Status
Subject Korean War Veterans Memorial E21858 entity
Predicate numberOfStatues P22479 FINISHED
Object 19 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: 19 | Statement: [Korean War Veterans Memorial, numberOfStatues, 19]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfStatues
Context triple: [Korean War Veterans Memorial, numberOfStatues, 19]
  • A. numberOfSculptures chosen
    Indicates the quantity of sculptures associated with a given entity or context.
  • B. hasStatue
    Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
  • C. numberOfStelae
    Indicates the quantity of stelae associated with a given entity or context.
  • D. numberOfFiguresDepicted
    Indicates the total count of distinct figures shown within a given depiction or representation.
  • E. statueHeight
    Indicates the height measurement of a statue in some specified unit.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b72207c08190a3dbb2aa7acbbc71 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.