Triple

T21579660
Position Surface form Disambiguated ID Type / Status
Subject Israeli national holidays E532490 entity
Predicate typicalClosures P144337 FINISHED
Object government offices 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: government offices | Statement: [Israeli national holidays, typicalClosures, government offices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalClosures
Context triple: [Israeli national holidays, typicalClosures, government offices]
  • A. closureType
    Indicates the specific manner or condition in which something is closed, completed, or terminated within a process or relationship.
  • B. typicalClosing
    Indicates that an entity represents a standard or commonly used way of ending or concluding another entity (such as a message, document, or interaction).
  • C. closureBy
    Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
  • D. notableClosure
    Indicates that an entity is recognized for a significant or noteworthy ending, shutdown, or termination event.
  • E. closure
    Indicates that an entity is closed or not accessible/available for use, entry, or interaction.
  • F. None of above. chosen

Provenance (4 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5b8118819095fd751a03fbe8e8 completed April 27, 2026, 4:51 a.m.
PD Predicate disambiguation batch_69e6320c8c2c81908bf031447d66a052 completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e633bf34c481909925d8dc1a633a65 completed April 20, 2026, 2:10 p.m.
Created at: April 16, 2026, 6:31 p.m.