Triple
T13166921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra del Sole |
E312876
|
entity |
| Predicate | urbanModel |
P72019
|
FINISHED |
| Object | ideal fortress-city |
—
|
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: ideal fortress-city | Statement: [Terra del Sole, urbanModel, ideal fortress-city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanModel Context triple: [Terra del Sole, urbanModel, ideal fortress-city]
-
A.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
-
B.
hasUrbanModel
chosen
Indicates that an entity is associated with or characterized by a specific urban planning or city-scale representation model.
-
C.
urbanSuccessor
Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban context.
-
D.
urbanDevelopment
Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
-
E.
urbanStatusContext
Indicates the relationship between an entity and the urban characteristics or conditions of its surrounding environment or context.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:13 p.m.