Triple

T33404901
Position Surface form Disambiguated ID Type / Status
Subject Jordan E855411 entity
Predicate nationalAnthem P249 FINISHED
Object As-salam al-malaki al-urdoni
As-salam al-malaki al-urdoni is the official national anthem of the Hashemite Kingdom of Jordan, symbolizing the country's monarchy and national identity.
E2050061 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: As-salam al-malaki al-urdoni | Statement: [Jordan, nationalAnthem, As-salam al-malaki al-urdoni]
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: As-salam al-malaki al-urdoni
Triple: [Jordan, nationalAnthem, As-salam al-malaki al-urdoni]
Generated description
As-salam al-malaki al-urdoni is the official national anthem of the Hashemite Kingdom of Jordan, symbolizing the country's monarchy and national identity.

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_69f3496f04a08190804e56ac5098b8e4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e41a39808190b5869737f809f403 completed May 3, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576f8fc44819091146eb51f7a0e62 completed June 19, 2026, 5:06 p.m.
NEDg Description generation batch_6a3578d86264819086f4e33bc9e9b4de completed June 19, 2026, 5:14 p.m.
NED2 Entity disambiguation (via description) batch_6a357aadae848190a4d9bb3b7c964f38 completed June 19, 2026, 5:21 p.m.
Created at: May 1, 2026, 1:36 a.m.