Triple

T22362019
Position Surface form Disambiguated ID Type / Status
Subject Hashkivenu E552800 entity
Predicate partOf P40 FINISHED
Object Maariv service NE NERFINISHED

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: Maariv service | Statement: [Hashkivenu, partOf, Maariv service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maariv service
Context triple: [Hashkivenu, partOf, Maariv service]
  • A. Musaf service
    The Musaf service is an additional Jewish prayer recited on Sabbaths, festivals, and certain special days to commemorate the extra Temple offerings once brought on those occasions.
  • B. Tavisuplebis Moedani
    Tavisuplebis Moedani is the central Freedom Square in Tbilisi, Georgia, known as a historic and political focal point of the city.
  • C. Ma’ariv chosen
    Ma’ariv is the Jewish evening prayer service, traditionally recited after nightfall and forming one of the three daily prayer services in Judaism.
  • D. M service
    The M service is a New York City Subway route that runs through Midtown Manhattan and Queens, providing local and express transit via key trunk lines including the 53rd Street Tunnel.
  • E. Malamaal Weekly
    Malamaal Weekly is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its rural setting and ensemble cast led by Paresh Rawal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d44a908190b16e4cfdf4591b10 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.