Triple

T3930540
Position Surface form Disambiguated ID Type / Status
Subject Iowa-class battleship E93382 entity
Predicate numberOfMainGuns P43721 FINISHED
Object 9 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: 9 | Statement: [Iowa-class battleship, numberOfMainGuns, 9]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMainGuns
Context triple: [Iowa-class battleship, numberOfMainGuns, 9]
  • A. numberOfMainBatteryGuns chosen
    Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
  • B. primaryArmament
    Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
  • C. numberOfGuns
    Indicates the quantity of guns associated with a given entity or situation.
  • D. armamentCapacity
    Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
  • E. secondaryArmament
    Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
PD Predicate disambiguation batch_69aee7609c4081908000ce12ae827c3f completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:23 p.m.