Triple
T13629826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Circle |
E325683
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bridge Street |
—
|
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: Bridge Street | Statement: [Outer Circle, hasStation, Bridge Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridge Street Context triple: [Outer Circle, hasStation, Bridge Street]
-
A.
Bridge Street
Bridge Street is a notable thoroughfare in Salisbury, England, known for its central location and historic urban character.
-
B.
Bridge Street
Bridge Street is a central London thoroughfare in Westminster that connects Parliament Square to the River Thames and Westminster Bridge.
-
C.
Thomas Street
Thomas Street is a historic thoroughfare in Dublin, Ireland, known for its traditional markets, old breweries, and central role in the Liberties district.
-
D.
Warren Street
Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
-
E.
Warren Street
Warren Street is a street in Newark, New Jersey, located near the New Jersey Institute of Technology (NJIT) campus and served by the Warren Street/NJIT light rail station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9ea9088190a17270dec82bbcaa |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.