Triple
T15007172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLNSW |
E377738
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Hyde Park |
E58758
|
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: Hyde Park | Statement: [SLNSW, overlooks, Hyde Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyde Park Context triple: [SLNSW, overlooks, Hyde Park]
-
A.
Hyde Park
chosen
Hyde Park is a historic central public park in Sydney, Australia, known for its tree-lined avenues, monuments, and recreational green space.
-
B.
Hyde Park
Hyde Park is a historic town in New York’s Hudson Valley best known as the longtime home of President Franklin D. Roosevelt and several notable Gilded Age estates.
-
C.
Hyde Park
Hyde Park is a historic and upscale residential and shopping district located just southwest of downtown Tampa, Florida.
-
D.
Hyde Park
Hyde Park is a historic neighborhood on Chicago’s South Side known for its cultural diversity, lakefront parks, and institutions like the University of Chicago and the Museum of Science and Industry.
-
E.
Hyde Park
Hyde Park is an affluent, tree-lined suburb and shopping district in Sandton, Johannesburg, known for its luxury residences and upscale retail center.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a35acc8190a85f2ce32800ce1b |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.