Triple
T3639704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westminster, London, England |
E77156
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Victoria Street |
E381128
|
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: Victoria Street | Statement: [Westminster, London, England, contains, Victoria Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Street Context triple: [Westminster, London, England, contains, Victoria Street]
-
A.
Victoria Street
Victoria Street is a railway station on the line between Newcastle and Maitland in New South Wales, Australia.
-
B.
Victoria Street
Victoria Street is a central thoroughfare in Manchester, England, known for running past landmarks such as Manchester Cathedral in the city’s historic core.
-
C.
Victoria Street
chosen
Victoria Street is a major thoroughfare in central London that runs through the Westminster area, connecting key government, commercial, and transport hubs.
-
D.
Victoria Street
Victoria Street is a famously picturesque, curved shopping street in Edinburgh’s Old Town, known for its colorful facades and historic architecture.
-
E.
Argyle Street
Argyle Street is one of Glasgow’s main shopping and thoroughfare streets, running through the city centre and known for its retail outlets and busy pedestrian traffic.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32b83188190bfc0ed4dc8f66730 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712687f408190ac948dcc990e8e08 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:24 p.m.