Triple

T6373581
Position Surface form Disambiguated ID Type / Status
Subject Mount Vernon Place E143407 entity
Predicate hasStreet P959 FINISHED
Object West Monument Street
West Monument Street is a historic thoroughfare in Baltimore’s Mount Vernon neighborhood, known for its 19th-century architecture and proximity to the Washington Monument.
 E2294091 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: West Monument Street | Statement: [Mount Vernon Place, hasStreet, West Monument Street]
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: West Monument Street
Triple: [Mount Vernon Place, hasStreet, West Monument Street]
Generated description
West Monument Street is a historic thoroughfare in Baltimore’s Mount Vernon neighborhood, known for its 19th-century architecture and proximity to the Washington Monument.

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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068390af08190967a3d25ec9a50e5 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b766055748190b43fbc57cde9e032 completed Aug. 11, 2026, 7:22 p.m.
NEDg Description generation batch_6a7b76afac088190b8a45c3c8f274058 completed Aug. 11, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a7b77441b0c8190a3e5f3072a522eac completed Aug. 11, 2026, 7:25 p.m.
Created at: March 22, 2026, 4:33 p.m.