Triple
T26566338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historic centre of San Cristóbal de La Laguna |
E666394
|
entity |
| Predicate | followsUrbanPlanningModel |
P54635
|
FINISHED |
| Object | grid plan |
—
|
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: grid plan | Statement: [historic centre of San Cristóbal de La Laguna, followsUrbanPlanningModel, grid plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsUrbanPlanningModel Context triple: [historic centre of San Cristóbal de La Laguna, followsUrbanPlanningModel, grid plan]
-
A.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
B.
mainUrbanPlan
chosen
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
C.
hasUrbanPlanner
Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
-
D.
hasUrbanPlanningRule
Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
-
E.
hasUrbanModel
Indicates that an entity is associated with or characterized by a specific urban planning or city-scale representation model.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 1:55 a.m.