Triple

T33726600
Position Surface form Disambiguated ID Type / Status
Subject Second Netanyahu Government E864159 entity
Predicate coalitionPartner P1904 FINISHED
Object United Torah Judaism
United Torah Judaism is an Israeli ultra-Orthodox Jewish political alliance representing Ashkenazi Haredi interests, primarily focused on religious and social issues.
E371838 NE 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: United Torah Judaism | Statement: [Second Netanyahu Government, coalitionPartner, United Torah Judaism]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United Torah Judaism
Triple: [Second Netanyahu Government, coalitionPartner, United Torah Judaism]
Generated description
United Torah Judaism is an Israeli ultra-Orthodox Jewish political alliance representing Ashkenazi Haredi interests, primarily focused on religious and social issues.

Provenance (5 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_69f3498a64cc8190b4b414c67b280d93 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb1aba5c81908c4db7d648a9825a completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36656fa12481908415c38b5aff3907 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a36699b3508819090f78b189be090c3 completed June 20, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3669f97edc8190bfb0e754776ba443 completed June 20, 2026, 10:22 a.m.
Created at: May 1, 2026, 1:44 a.m.