Triple
T5676793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawnmarket, Edinburgh |
E125104
|
entity |
| Predicate | hasNameElement |
P3097
|
FINISHED |
| Object |
Lawnmarket
Lawnmarket is a historic street forming part of Edinburgh’s Royal Mile, known for its traditional tenements, shops, and proximity to Edinburgh Castle.
|
E538212
|
NE FINISHED |
How this triple was built (4 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: Lawnmarket | Statement: [Lawnmarket, Edinburgh, hasNameElement, Lawnmarket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawnmarket Context triple: [Lawnmarket, Edinburgh, hasNameElement, Lawnmarket]
-
A.
Smith’s Lawn
Smith’s Lawn is a renowned polo ground located within Windsor Great Park in Berkshire, England.
-
B.
Emersons Green
Emersons Green is a suburban residential and commercial area on the outskirts of Bristol in South Gloucestershire, England.
-
C.
Wheatley Park
Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
-
D.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
E.
Park Meadow
Park Meadow is a scenic alpine meadow and popular hiking destination located within Oregon’s Three Sisters Wilderness.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lawnmarket Triple: [Lawnmarket, Edinburgh, hasNameElement, Lawnmarket]
Generated description
Lawnmarket is a historic street forming part of Edinburgh’s Royal Mile, known for its traditional tenements, shops, and proximity to Edinburgh Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawnmarket Target entity description: Lawnmarket is a historic street forming part of Edinburgh’s Royal Mile, known for its traditional tenements, shops, and proximity to Edinburgh Castle.
-
A.
Smith’s Lawn
Smith’s Lawn is a renowned polo ground located within Windsor Great Park in Berkshire, England.
-
B.
Emersons Green
Emersons Green is a suburban residential and commercial area on the outskirts of Bristol in South Gloucestershire, England.
-
C.
Wheatley Park
Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
-
D.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
E.
Park Meadow
Park Meadow is a scenic alpine meadow and popular hiking destination located within Oregon’s Three Sisters Wilderness.
- F. None of above. chosen
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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02392f9f481908f7b80873589eff1 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dbbbe9081908d1915b898722c18 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04ee0ee6c81908f5959bdba54a7ec |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb8ddfc8190a95b86972e659403 |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:43 p.m.