Triple

T26636985
Position Surface form Disambiguated ID Type / Status
Subject Independence Pavilion E668664 entity
Predicate category P87 FINISHED
Object National museums of Albania
The National museums of Albania are a group of state-run cultural institutions that preserve, research, and exhibit the country’s historical, artistic, and archaeological heritage.
 E1771950 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: National museums of Albania | Statement: [Independence Pavilion, category, National museums of Albania]
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: National museums of Albania
Triple: [Independence Pavilion, category, National museums of Albania]
Generated description
The National museums of Albania are a group of state-run cultural institutions that preserve, research, and exhibit the country’s historical, artistic, and archaeological heritage.

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_69ee9d0024b8819090a7c8cf669a3b6c completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6162b904c8190ad713c98b76eba16 completed May 2, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b215f1548190bf7c0b0c7ff090af completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b2fc96848190b6f0e000f159a779 completed May 24, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a12b3573a6c819093c3df4feaa23f0a completed May 24, 2026, 8:14 a.m.
Created at: April 27, 2026, 2:27 a.m.