Triple
T15494293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King William Street, London |
E378773
|
entity |
| Predicate | streetNumberingSystem |
P49387
|
FINISHED |
| Object | buildings numbered sequentially along both sides |
—
|
LITERAL 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: buildings numbered sequentially along both sides | Statement: [King William Street, London, streetNumberingSystem, buildings numbered sequentially along both sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetNumberingSystem Context triple: [King William Street, London, streetNumberingSystem, buildings numbered sequentially along both sides]
-
A.
hasStreetNumberingSystem
chosen
Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
-
B.
hasRoadNumberSystem
Indicates that a place or region uses a specific system for assigning numbers to its roads or highways.
-
C.
hasJunctionNumbering
Indicates that a road or route is assigned a specific numbering system for its junctions or intersections.
-
D.
postalCodeSystem
Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
-
E.
roadNumberType
Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
- F. None of above.
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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:49 a.m.