Triple
T37309180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Caesar Augusta |
E926157
|
entity |
| Predicate | hadUrbanPlan |
P85165
|
FINISHED |
| Object | orthogonal street grid |
—
|
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: orthogonal street grid | Statement: [Colonia Caesar Augusta, hadUrbanPlan, orthogonal street grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadUrbanPlan Context triple: [Colonia Caesar Augusta, hadUrbanPlan, orthogonal street grid]
-
A.
mainUrbanPlan
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
B.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
C.
urbanPlanBy
Indicates that an urban plan is created, designed, or authored by a specific agent or authority.
-
D.
originalUrbanPlanBy
Indicates that an urban plan was initially conceived or designed by a particular agent (such as a planner, architect, or organization).
-
E.
hasPlannedUrbanCharacter
chosen
Indicates that an area exhibits an intentionally designed and organized urban form, layout, and land use pattern rather than informal or unplanned development.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.