Triple
T31603803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent's Park road network |
E806420
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Regent's Park Broad Walk (road sections adjacent)
Regent's Park Broad Walk (road sections adjacent) refers to the stretches of roadway running alongside the main Broad Walk pedestrian avenue within Regent's Park in London, providing vehicular access and connections around the park’s central promenade.
|
E806420
|
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: Regent's Park Broad Walk (road sections adjacent) | Statement: [Regent's Park road network, hasPart, Regent's Park Broad Walk (road sections adjacent)]
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: Regent's Park Broad Walk (road sections adjacent) Triple: [Regent's Park road network, hasPart, Regent's Park Broad Walk (road sections adjacent)]
Generated description
Regent's Park Broad Walk (road sections adjacent) refers to the stretches of roadway running alongside the main Broad Walk pedestrian avenue within Regent's Park in London, providing vehicular access and connections around the park’s central promenade.
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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a86d4ad08190b3372558c9f544a6 |
completed | May 3, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b565a66388190af7c640ac260ef0d |
completed | June 12, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a2b56e5e13881908dfb01d199fa9b9f |
completed | June 12, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b70c031548190bd2e8f99f3243398 |
completed | June 12, 2026, 2:36 a.m. |
Created at: April 30, 2026, 10:34 p.m.