Triple

T30431191
Position Surface form Disambiguated ID Type / Status
Subject Columbus Circle NE E774168 entity
Predicate adjacentTo P224 FINISHED
Object E Street NE
E Street NE is a street in Washington, D.C., located on Capitol Hill near major federal landmarks and government buildings.
 E1917612 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: E Street NE | Statement: [Columbus Circle NE, adjacentTo, E Street NE]
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: E Street NE
Triple: [Columbus Circle NE, adjacentTo, E Street NE]
Generated description
E Street NE is a street in Washington, D.C., located on Capitol Hill near major federal landmarks and government buildings.

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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6866e2fcc819090808635c0818ed9 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac12545081909643cec25174fc63 completed June 9, 2026, 6 a.m.
NEDg Description generation batch_6a27adddb1ec8190833b8c0e123cb879 completed June 9, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a27b0ba1f4c819091be0da5c58011b4 completed June 9, 2026, 6:20 a.m.
Created at: April 29, 2026, 8:07 p.m.