Triple

T7368127
Position Surface form Disambiguated ID Type / Status
Subject Rosh HaMemshala E169921 entity
Predicate hasFormOfAddress P4477 FINISHED
Object Mr. Prime Minister unclear NED1 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: Mr. Prime Minister | Statement: [Rosh HaMemshala, hasFormOfAddress, Mr. Prime Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Prime Minister
Context triple: [Rosh HaMemshala, hasFormOfAddress, Mr. Prime Minister]
  • A. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
  • B. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of the Republic of Croatia.
  • C. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
  • D. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
  • E. Mr Prime Minister
    "Mr Prime Minister" is the formal style of address used for the head of government of Estonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f17fe278819094eb1dd886583c6a completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bfaa10819083ab3137dbdeefb6 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.