Triple
T3676308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergels torg |
E77999
|
entity |
| Predicate | hasLowerLevel |
P1758
|
FINISHED |
| Object | pedestrian plaza |
—
|
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: pedestrian plaza | Statement: [Sergels torg, hasLowerLevel, pedestrian plaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerLevel Context triple: [Sergels torg, hasLowerLevel, pedestrian plaza]
-
A.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
B.
hasLowerLevelLine
Indicates that one line is positioned or ranked below another line within a hierarchical or layered structure.
-
C.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
D.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
E.
hasLower
chosen
Indicates that one entity is positioned at a lower level, rank, or value relative to another entity.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc462ffdc8190896e9f98f648e2f3 |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.