Triple
T11782790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurabo barrio-pueblo |
E280191
|
entity |
| Predicate | followsUrbanPattern |
P51491
|
FINISHED |
| Object | Spanish colonial 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: Spanish colonial town layout | Statement: [Gurabo barrio-pueblo, followsUrbanPattern, Spanish colonial town layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsUrbanPattern Context triple: [Gurabo barrio-pueblo, followsUrbanPattern, Spanish colonial town layout]
-
A.
isUrbanForm
Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
-
B.
isUrbanSee
Indicates a relationship where a location or area is recognized or classified as an urban settlement or city-like environment.
-
C.
containsUrbanForm
Indicates that one entity spatially includes or encompasses an urban form or built-up area within its extent.
-
D.
hasUrbanFabric
chosen
Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
-
E.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.