Triple

T30880972
Position Surface form Disambiguated ID Type / Status
Subject United Street (Key West) E786611 entity
Predicate hasIntersectionWith P13379 FINISHED
Object William Street (Key West)
William Street (Key West) is a local roadway in Key West, Florida, that intersects with United Street and serves the surrounding residential and commercial neighborhood.
E1961663 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: William Street (Key West) | Statement: [United Street (Key West), hasIntersectionWith, William Street (Key West)]
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: William Street (Key West)
Triple: [United Street (Key West), hasIntersectionWith, William Street (Key West)]
Generated description
William Street (Key West) is a local roadway in Key West, Florida, that intersects with United Street and serves the surrounding residential and commercial neighborhood.

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_69f224bae17c8190bb3a6a28e3d019df completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6920282f88190bf721e9204a63750 completed May 3, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad2146d8c8190bb8571261ede4dca completed June 11, 2026, 3:19 p.m.
NEDg Description generation batch_6a2ae91388e8819093a8f184e2273c44 completed June 11, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2aee8d2e10819082ce03bf0d1c8d2b completed June 11, 2026, 5:21 p.m.
Created at: April 29, 2026, 8:48 p.m.