Triple
T13956041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Street |
E335663
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Princess Street |
E220962
|
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: Princess Street | Statement: [Portland Street, hasJunctionWith, Princess Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Street Context triple: [Portland Street, hasJunctionWith, Princess Street]
-
A.
Princess Street
Princess Street is one of the oldest and most popular heritage streets in Fort Kochi, Kerala, known for its colonial-era architecture, cafes, and tourist-friendly shops.
-
B.
Princess Street
chosen
Princess Street is a central thoroughfare in Manchester, England, known for running through key districts including the city's Chinatown.
-
C.
Princesa Street
Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
-
D.
Gordon Street
Gordon Street is a central thoroughfare in Glasgow, Scotland, known for its proximity to major transport links, shops, and city landmarks.
-
E.
Argyll Street
Argyll Street is a central London street in the West End, known for its proximity to Oxford Circus and its mix of retail, commercial, and historic buildings.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b719848190981aec627d64df58 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 9, 2026, 10:17 p.m.