Triple
T9725617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stary Sącz |
E235600
|
entity |
| Predicate | hasUrbanLayoutType |
P90675
|
FINISHED |
| Object | medieval small-town layout |
—
|
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: medieval small-town layout | Statement: [Stary Sącz, hasUrbanLayoutType, medieval small-town layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanLayoutType Context triple: [Stary Sącz, hasUrbanLayoutType, medieval small-town layout]
-
A.
hasColonialUrbanLayout
Indicates that an urban area’s spatial organization and street pattern follow a design imposed during a colonial period, reflecting colonial planning principles and control.
-
B.
hasUrbanClassification
Indicates that an entity is assigned a specific urban status or category within a defined classification system.
-
C.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
D.
hasUrbanModel
Indicates that an entity is associated with or characterized by a specific urban planning or city-scale representation model.
-
E.
isUrbanForm
Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:21 p.m.