Triple
T18059880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kungstornen |
E432141
|
entity |
| Predicate | streetSpan |
P129661
|
FINISHED |
| Object | frame the eastern part of Kungsgatan |
—
|
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: frame the eastern part of Kungsgatan | Statement: [Kungstornen, streetSpan, frame the eastern part of Kungsgatan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetSpan Context triple: [Kungstornen, streetSpan, frame the eastern part of Kungsgatan]
-
A.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
B.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
C.
hasNumberOfStreets
Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
-
D.
roadWidth
Indicates the measured breadth or distance across a road, typically from one edge or curb to the opposite edge or curb.
-
E.
isOneOfLongestStreetsIn
Indicates that a street is among the longest streets within a specified area or region.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.