Triple
T26423255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foss Barrier and pumping station |
E664297
|
entity |
| Predicate | hasAccessVia |
P1985
|
FINISHED |
| Object |
Foss Islands Road area
The Foss Islands Road area is a district in York, England, known for its mix of retail parks, light industry, and access routes along the River Foss.
|
E1724864
|
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: Foss Islands Road area | Statement: [Foss Barrier and pumping station, hasAccessVia, Foss Islands Road area]
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: Foss Islands Road area Triple: [Foss Barrier and pumping station, hasAccessVia, Foss Islands Road area]
Generated description
The Foss Islands Road area is a district in York, England, known for its mix of retail parks, light industry, and access routes along the River Foss.
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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f611b747e48190a20de2bc49ad29ef |
completed | May 2, 2026, 3:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11aec4a7dc8190a8e1e3fe1ea6d109 |
completed | May 23, 2026, 1:42 p.m. |
| NEDg | Description generation | batch_6a11afe7f1f0819097ec0208368b6409 |
completed | May 23, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11b0a521b08190bfda23906722482c |
completed | May 23, 2026, 1:50 p.m. |
Created at: April 26, 2026, 11:44 p.m.