Triple

T577192
Position Surface form Disambiguated ID Type / Status
Subject Casio E13780 entity
Predicate brand P1500 FINISHED
Object G-Shock E13780 NE 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: G-Shock | Statement: [Casio, brand, G-Shock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G-Shock
Context triple: [Casio, brand, G-Shock]
  • A. TAG Heuer
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • B. Casio chosen
    Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
  • C. Pixel Watch
    The Pixel Watch is Google’s smartwatch line that integrates tightly with Android and Fitbit health features to provide notifications, fitness tracking, and Google services on the wrist.
  • D. Zeiger
    Zeiger is the birth surname of famed American television and radio host Larry King.
  • E. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bfb6408190bf7e1f462f39723d completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:33 p.m.