Triple
T11093322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town, Edinburgh |
E262309
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Victoria Street |
E385057
|
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: [Old Town, Edinburgh, hasPart, Victoria Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Street Context triple: [Old Town, Edinburgh, hasPart, Victoria Street]
-
A.
Victoria Street
Victoria Street is a major thoroughfare in central London that runs through the Westminster area, connecting key government, commercial, and transport hubs.
-
B.
Victoria Street
Victoria Street is a central thoroughfare in Belfast, Northern Ireland, known for its proximity to key civic buildings and the historic city center.
-
C.
Victoria Street
chosen
Victoria Street is a famously picturesque, curved shopping street in Edinburgh’s Old Town, known for its colorful facades and historic architecture.
-
D.
Victoria Street
Victoria Street is a railway station on the line between Newcastle and Maitland in New South Wales, Australia.
-
E.
Victoria Street
Victoria Street is a notable thoroughfare in Durban, South Africa, historically known for its bustling markets and vibrant multicultural atmosphere.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ee6ff881909fb0d1590580c4e8 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 8, 2026, 9:27 p.m.