Triple
T12092991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merton Street |
E287992
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Magpie Lane |
E965341
|
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: Magpie Lane | Statement: [Merton Street, connectsTo, Magpie Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magpie Lane Context triple: [Merton Street, connectsTo, Magpie Lane]
-
A.
Magpie Lane
chosen
Magpie Lane is a narrow historic lane in central Oxford, England, known for its medieval character and proximity to several University of Oxford colleges.
-
B.
Magnolia Lane
Magnolia Lane is the iconic tree-lined driveway leading from the entrance gate to the clubhouse at Augusta National Golf Club.
-
C.
Violet Lane
Violet Lane was the wife of English actor and entertainer Stanley Holloway.
-
D.
Ella Lane
Ella Lane is a supporting character in the Superman/DC Comics universe, best known as the mother of reporter Lois Lane.
-
E.
Harkening Hill
Harkening Hill is one of the three main Peaks of Otter in Virginia’s Blue Ridge Mountains, known for its forested hiking trail and scenic summit views.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.