Triple

T38514350
Position Surface form Disambiguated ID Type / Status
Subject 90 West Street E921999 entity
Predicate hasAlternateName P39 FINISHED
Object West Street Building
The West Street Building is a historic early 20th-century skyscraper in Lower Manhattan, New York City, notable for its neo-Gothic architecture and proximity to the World Trade Center site.
 E2272435 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 Street Building | Statement: [90 West Street, hasAlternateName, West Street Building]
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 Street Building
Triple: [90 West Street, hasAlternateName, West Street Building]
Generated description
The West Street Building is a historic early 20th-century skyscraper in Lower Manhattan, New York City, notable for its neo-Gothic architecture and proximity to the World Trade Center site.

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_69f76ea3c5448190aa7002fc1ba3f874 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd28f5ab8819093c0450c9f3ac0b9 completed May 7, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d663cc6c8190ae8420f67b0f9760 completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41d78d2e3c81908786b1801d2862ef completed June 29, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a41d82ce700819090f97a5c6176342a completed June 29, 2026, 2:27 a.m.
Created at: May 3, 2026, 4:32 p.m.