Triple

T19752917
Position Surface form Disambiguated ID Type / Status
Subject 6th Guards Tank Army E474426 entity
Predicate honorificTitle P2097 FINISHED
Object Guards E171617 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: Guards | Statement: [6th Guards Tank Army, honorificTitle, Guards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guards
Context triple: [6th Guards Tank Army, honorificTitle, Guards]
  • A. Guards chosen
    Guards is an honorific military designation historically awarded to elite, highly distinguished units in various armed forces, particularly in the Soviet and Russian militaries.
  • B. the Guards
    The Guards is the colloquial name for An Garda Síochána, the national police service of Ireland responsible for law enforcement and public safety.
  • C. A Guarda
    A Guarda is a coastal town in northwestern Spain known for its fishing heritage and the nearby ancient Celtic hillfort of Santa Trega.
  • D. La Guardia
    La Guardia is an Italian-origin surname most famously associated with Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • E. The Guard
    The Guard is a darkly comedic Irish crime film in which Brendan Gleeson plays an unconventional small-town police officer drawn into an international drug-smuggling investigation.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd64ff708190bf23345b53ad6d0d completed May 16, 2026, 12:42 a.m.
Created at: April 10, 2026, 1:48 p.m.