Triple

T5861339
Position Surface form Disambiguated ID Type / Status
Subject War E130280 entity
Predicate follows P134 FINISHED
Object October E144994 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: October | Statement: [War, follows, October]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: October
Context triple: [War, follows, October]
  • A. October chosen
    October is the tenth month of the year in both the Julian and Gregorian calendars, typically associated with mid-autumn in the Northern Hemisphere.
  • B. September
    September is the ninth month of the year in the Gregorian calendar, marking the transition from summer to autumn in the Northern Hemisphere and from winter to spring in the Southern Hemisphere.
  • C. November
    November is the eleventh month of the Gregorian calendar, associated in the United States with late autumn, Thanksgiving, and the height of the football season.
  • D. Octobri Mense
    Octobri Mense is an 1891 encyclical letter by Pope Leo XIII that emphasizes the importance of the Rosary and Marian devotion, particularly during the month of October.
  • E. August
    August is a masculine given name of Latin origin, commonly used in Germanic and other European languages and associated with figures such as the classical philologist Friedrich August Wolf.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03588dd8c81909491350140ea340e completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c70754819089081fc440ed841e completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.