Triple

T20946625
Position Surface form Disambiguated ID Type / Status
Subject Saul’s campaign against Amalek E515858 entity
Predicate hasTimeFrame P79788 FINISHED
Object period of early Israelite monarchy 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: period of early Israelite monarchy | Statement: [Saul’s campaign against Amalek, hasTimeFrame, period of early Israelite monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimeFrame
Context triple: [Saul’s campaign against Amalek, hasTimeFrame, period of early Israelite monarchy]
  • A. timeFrameSpecified
    Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
  • B. hasTimeOptions
    Indicates that an entity is associated with one or more selectable time choices or configurations.
  • C. timeframeApproximate
    Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
  • D. hasTimeIndication chosen
    Indicates that something includes, specifies, or is associated with a particular time-related indication (such as a timestamp, time period, or temporal marker).
  • E. hasTimeDepth
    Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad97aa48190b4be692e3afce8c9 completed April 21, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69e5c9b1bae48190a845165fed1b005e completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:56 p.m.