Triple
T18085356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women’s Table |
E432818
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object | Rose Walk |
—
|
NE NERFINISHED |
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: Rose Walk | Statement: [Women’s Table, locatedOnStreet, Rose Walk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Walk Context triple: [Women’s Table, locatedOnStreet, Rose Walk]
-
A.
Rose Walk
chosen
Rose Walk is a scenic lakeside walking path at Lake Junaluska in North Carolina, known for its landscaped rose gardens and peaceful views.
-
B.
Wisteria Walk
Wisteria Walk is a residential street in the fictional Surrey town of Little Whinging in the Harry Potter series.
-
C.
Philosopher’s Walk
Philosopher’s Walk is a scenic, tree-lined footpath running through the University of Toronto campus, known for its tranquil atmosphere and historical surroundings.
-
D.
Empress Walk
Empress Walk is a mixed-use commercial and residential complex in North York, Toronto, featuring a shopping mall, cinema, and high-rise condominium towers.
-
E.
Riverside Walk
Riverside Walk is a scenic pedestrian riverside route in Kingston town centre, popular for leisure strolls, views of the Thames, and access to nearby shops and cafes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.