Triple
T15457292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hayes |
E371802
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | St Mary Street |
E1412364
|
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: St Mary Street | Statement: [The Hayes, connectsTo, St Mary Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Mary Street Context triple: [The Hayes, connectsTo, St Mary Street]
-
A.
St Mary Street
chosen
St Mary Street is a major thoroughfare and popular shopping and nightlife street in the centre of Cardiff, Wales.
-
B.
St Mary’s Street
St Mary’s Street is a central street in Cambridge, England, situated by Great St Mary’s Church and close to several University of Cambridge colleges and buildings.
-
C.
Wood Street
Wood Street is a central thoroughfare in Cardiff, Wales, situated in the heart of the city’s commercial and transport district near Cardiff Central railway station.
-
D.
Renshaw Street
Renshaw Street is a major thoroughfare in central Liverpool, England, known for its mix of shops, eateries, and historic urban streetscape.
-
E.
St Andrew's Street
St Andrew's Street is a central thoroughfare in Cambridge, England, known for its historic university buildings, shops, and proximity to key city landmarks.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099eba359c81909d95e777205be974 |
completed | May 17, 2026, 10:55 a.m. |
Created at: April 10, 2026, 3:31 a.m.