Triple

T36779686
Position Surface form Disambiguated ID Type / Status
Subject Estonian Rescue Board E908731 entity
Predicate subordinateTo P258 FINISHED
Object Minister of the Interior of Estonia
The Minister of the Interior of Estonia is the government official responsible for internal security, law enforcement, border control, and emergency management within the country.
E2202463 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: Minister of the Interior of Estonia | Statement: [Estonian Rescue Board, subordinateTo, Minister of the Interior of Estonia]
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: Minister of the Interior of Estonia
Triple: [Estonian Rescue Board, subordinateTo, Minister of the Interior of Estonia]
Generated description
The Minister of the Interior of Estonia is the government official responsible for internal security, law enforcement, border control, and emergency management within the country.

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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9c10d0c8190b77e7abda22b99c4 completed May 3, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfacb38548190a516d5135b5d0376 completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3dfe6079248190a7f3ffb91e13da0b completed June 26, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3e02cfb19c819097fe1d03ad794aea completed June 26, 2026, 4:40 a.m.
Created at: May 3, 2026, 4:12 p.m.