Triple

T2606654
Position Surface form Disambiguated ID Type / Status
Subject United Nations Archives Geneva E58675 entity
Predicate timeCoverageStart P288 FINISHED
Object 1919 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: 1919 | Statement: [United Nations Archives Geneva, timeCoverageStart, 1919]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeCoverageStart
Context triple: [United Nations Archives Geneva, timeCoverageStart, 1919]
  • A. timePeriodCoveredTo
    Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
  • B. coversPeriodStart
    Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
  • C. startDate chosen
    Indicates the point in time when an event, state, or relationship begins.
  • D. startsAt
    Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
  • E. timePeriodOrigin
    Indicates that one entity is the time period in which the other entity originated or first came into existence.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:49 p.m.