Triple
T1199237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St James’s Park |
E25739
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | The Mall |
E101981
|
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: The Mall | Statement: [St James’s Park, hasViewOf, The Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mall Context triple: [St James’s Park, hasViewOf, The Mall]
-
A.
The Mall
chosen
The Mall is a grand ceremonial road in central London that runs between Buckingham Palace and Trafalgar Square, often used for royal processions and public celebrations.
-
B.
McKeldin Mall
McKeldin Mall is the central, tree-lined green space and main quadrangle of the University of Maryland’s College Park campus, known for its expansive lawn, fountain, and surrounding academic buildings.
-
C.
Landover Mall
Landover Mall was a large, now-demolished shopping mall in Landover, Maryland that once served as a major regional retail and social hub.
-
D.
Harborplace
Harborplace is a waterfront shopping, dining, and entertainment complex located along Baltimore's Inner Harbor.
-
E.
Burlington Mall
Burlington Mall is a large regional shopping center in Burlington, Massachusetts, featuring a wide variety of retail stores, dining options, and entertainment 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9d56748190a12fe4a30346f1d8 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6ff3048190a420ee6c92fc9c71 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:46 p.m.