Triple

T37276945
Position Surface form Disambiguated ID Type / Status
Subject Apple Carnegie Library E924670 entity
Predicate category P87 FINISHED
Object Apple Store in Washington, D.C.
The Apple Store in Washington, D.C. located in the historic Carnegie Library is a flagship retail and community space that combines Apple’s technology showcase with cultural and educational events.
 E2221209 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: Apple Store in Washington, D.C. | Statement: [Apple Carnegie Library, category, Apple Store in Washington, D.C.]
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: Apple Store in Washington, D.C.
Triple: [Apple Carnegie Library, category, Apple Store in Washington, D.C.]
Generated description
The Apple Store in Washington, D.C. located in the historic Carnegie Library is a flagship retail and community space that combines Apple’s technology showcase with cultural and educational events.

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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5aa636588190ab36f76a3f200a7f completed May 6, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513766ac819092404a3b36be5853 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051a285ac819090cde6187c94ab69 completed June 27, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_6a405398da808190adfbac41f3c05ed7 completed June 27, 2026, 10:50 p.m.
Created at: May 3, 2026, 4:16 p.m.