Triple
T14300896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannerman Road |
E354558
|
entity |
| Predicate | streetNumberOfSarahJaneSmith |
P113681
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Bannerman Road, streetNumberOfSarahJaneSmith, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetNumberOfSarahJaneSmith Context triple: [Bannerman Road, streetNumberOfSarahJaneSmith, 13]
-
A.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
B.
isNumberedAvenueOf
Indicates that one entity is an avenue identified by a numerical designation that belongs to or is part of the other entity (such as a city or road network).
-
C.
roadName
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
D.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
E.
streetOrientedAlong
Indicates that a street is aligned or runs in the same general direction as a specified reference feature or axis.
- F. None of above. chosen
Provenance (4 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:11 a.m.