Triple
T30503153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bench by the Road memorial |
E776192
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Bench by the Road Project
The Bench by the Road Project is a commemorative initiative inspired by Toni Morrison that places simple benches at historically significant sites to honor and remember the African diaspora and the legacy of slavery.
|
E1917347
|
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: Bench by the Road Project | Statement: [Bench by the Road memorial, partOf, Bench by the Road Project]
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: Bench by the Road Project Triple: [Bench by the Road memorial, partOf, Bench by the Road Project]
Generated description
The Bench by the Road Project is a commemorative initiative inspired by Toni Morrison that places simple benches at historically significant sites to honor and remember the African diaspora and the legacy of slavery.
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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687825a248190b587438a58643a32 |
completed | May 2, 2026, 11:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27ac34e2cc81908b00ea172a52137e |
completed | June 9, 2026, 6:01 a.m. |
| NEDg | Description generation | batch_6a27ad12e04881909ed3d8bc5f38b65d |
completed | June 9, 2026, 6:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27ae0e5be0819080fd9538605b65b7 |
completed | June 9, 2026, 6:09 a.m. |
Created at: April 29, 2026, 8:15 p.m.