Triple

T31325900
Position Surface form Disambiguated ID Type / Status
Subject Order of the Estonian Red Cross E798885 entity
Predicate relatedTo P37 FINISHED
Object Estonian Red Cross
The Estonian Red Cross is the national humanitarian organization of Estonia, part of the International Red Cross and Red Crescent Movement, providing emergency assistance, disaster relief, and health-related services.
 E1957300 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: Estonian Red Cross | Statement: [Order of the Estonian Red Cross, relatedTo, Estonian Red Cross]
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: Estonian Red Cross
Triple: [Order of the Estonian Red Cross, relatedTo, Estonian Red Cross]
Generated description
The Estonian Red Cross is the national humanitarian organization of Estonia, part of the International Red Cross and Red Crescent Movement, providing emergency assistance, disaster relief, and health-related services.

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_69f224e3238c8190b2291f50ea4962cd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69eb1b4ac81908aa52c805d38a5c9 completed May 3, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e4bcb9c81908072c16ff6b0a415 completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a5c301fa8819087d54549e8c98510 completed June 11, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a2a6018d4688190a1bc6ae981db59c1 completed June 11, 2026, 7:13 a.m.
Created at: April 29, 2026, 9:15 p.m.