Triple
T4703146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waverley Station |
E104323
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Princes Street |
E59107
|
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: Princes Street | Statement: [Waverley Station, near, Princes Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princes Street Context triple: [Waverley Station, near, Princes Street]
-
A.
Princes Street
chosen
Princes Street is Edinburgh’s main shopping and thoroughfare street, famed for its views of Edinburgh Castle and the Old Town across Princes Street Gardens.
-
B.
Prince's Street
Prince's Street is a short street in the City of London, located in the historic financial district near the Bank of England.
-
C.
Queen Street, Edinburgh
Queen Street in Edinburgh is a prominent Georgian-era thoroughfare in the New Town, known for its elegant architecture and cultural institutions.
-
D.
High Street, Edinburgh
High Street in Edinburgh is the historic main thoroughfare of the Royal Mile in the Old Town, lined with notable medieval buildings, shops, and landmarks.
-
E.
Sauchiehall Street
Sauchiehall Street is one of Glasgow’s main city-centre thoroughfares, known for its shops, bars, and cultural venues.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63d082088190b7fc61a487d7ef2f |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1062fa8c81909263e6757ef7c2d5 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:17 p.m.