Triple
T10103929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stranger in the Alps |
E216270
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Scott Street |
E123303
|
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: Scott Street | Statement: [Stranger in the Alps, hasTrack, Scott Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Street Context triple: [Stranger in the Alps, hasTrack, Scott Street]
-
A.
Scott Street
chosen
Scott Street is a north–south thoroughfare in San Francisco, California, running along the eastern edge of the Alamo Square neighborhood and park.
-
B.
Jay Street
Jay Street is a major thoroughfare in Downtown Brooklyn, New York City, known for its government buildings, office towers, and proximity to key transit hubs.
-
C.
Mathew Street
Mathew Street is a famous street in Liverpool, England, best known for its historic association with The Beatles and the city’s vibrant music scene.
-
D.
Peter Street
Peter Street is a street in the Soho district of central London, known for its proximity to Berwick Street and the surrounding West End area.
-
E.
Austin Street
Austin Street is a major shopping and dining corridor in Forest Hills, Queens, known for its mix of retail stores, restaurants, and neighborhood services.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:03 p.m.