Triple
T3743909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Mile |
E79765
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lawnmarket |
E125104
|
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: Lawnmarket | Statement: [Royal Mile, hasPart, Lawnmarket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawnmarket Context triple: [Royal Mile, hasPart, Lawnmarket]
-
A.
Lawnmarket, Edinburgh
chosen
Lawnmarket, Edinburgh is a historic street on the Royal Mile in Scotland’s capital, known for its traditional tenements, shops, and legal and civic buildings.
-
B.
Smith’s Lawn
Smith’s Lawn is a renowned polo ground located within Windsor Great Park in Berkshire, England.
-
C.
Emersons Green
Emersons Green is a suburban residential and commercial area on the outskirts of Bristol in South Gloucestershire, England.
-
D.
Wheatley Park
Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb576b5881908515d64c71f11a16 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db29b2288190932923a6bf1a7e8e |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:34 p.m.