Triple

T34636965
Position Surface form Disambiguated ID Type / Status
Subject Paraguayan Ministry of Foreign Affairs E889452 entity
Predicate employerOf P7 FINISHED
Object Paraguayan diplomatic corps
The Paraguayan diplomatic corps is the professional body of diplomats representing Paraguay’s interests and conducting its foreign relations abroad.
E2105093 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: Paraguayan diplomatic corps | Statement: [Paraguayan Ministry of Foreign Affairs, employerOf, Paraguayan diplomatic corps]
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: Paraguayan diplomatic corps
Triple: [Paraguayan Ministry of Foreign Affairs, employerOf, Paraguayan diplomatic corps]
Generated description
The Paraguayan diplomatic corps is the professional body of diplomats representing Paraguay’s interests and conducting its foreign relations abroad.

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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7226c1f9c8190aa1536777e45e8ef completed May 3, 2026, 10:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748ec67488190999701b7a18cbd34 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a37496746188190bf52190a4dbb0f2e completed June 21, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_6a3749ec99a881909ebe245b31d13079 completed June 21, 2026, 2:18 a.m.
Created at: May 1, 2026, 2:04 a.m.