Triple

T123218
Position Surface form Disambiguated ID Type / Status
Subject New York Times Notable Books E2489 entity
Predicate timeSpanCovered P302 FINISHED
Object books published in the same calendar year 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: books published in the same calendar year | Statement: [New York Times Notable Books, timeSpanCovered, books published in the same calendar year]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeSpanCovered
Context triple: [New York Times Notable Books, timeSpanCovered, books published in the same calendar year]
  • A. timePeriodCoveredTo
    Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
  • B. timePeriod chosen
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • C. refersToPeriod
    Indicates that one entity designates, references, or is associated with a specific time period or interval.
  • D. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • E. focusPeriod
    Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69a2564928208190966a619680a0d6e2 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.