Triple
T16956517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New College Lane |
E411318
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Catte Street |
E251969
|
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: Catte Street | Statement: [New College Lane, connects, Catte Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catte Street Context triple: [New College Lane, connects, Catte Street]
-
A.
Catte Street
chosen
Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
-
B.
Hanover Street
Hanover Street is a historic and bustling main thoroughfare in Boston’s North End, known for its Italian restaurants, cafes, and neighborhood shops.
-
C.
Bird Street
Bird Street is a central street in Lichfield, Staffordshire, known for its mix of shops, restaurants, and proximity to the city’s historic cathedral area.
-
D.
Himmel Street
Himmel Street is the fictional working-class German street in the town of Molching where much of Markus Zusak’s novel "The Book Thief" takes place.
-
E.
Coney Street
Coney Street is one of the main historic shopping streets in the centre of York, England, lined with retail stores and close to many of the city's key attractions.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01c7b408190b5a2b6c62b050b76 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139eb7e388190978397aa9176a893 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:31 a.m.