Triple
T10733251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canóvanas barrio-pueblo |
E253126
|
entity |
| Predicate | hasCentralPlaza |
P13926
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Canóvanas barrio-pueblo, hasCentralPlaza, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralPlaza Context triple: [Canóvanas barrio-pueblo, hasCentralPlaza, yes]
-
A.
hasPlaza
chosen
Indicates that an entity includes, contains, or is associated with a plaza as part of its structure or grounds.
-
B.
hasCentralStreet
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
-
C.
hasCityCentreLocation
Indicates that something is located in, or directly associated with, the central area of a city.
-
D.
hasDowntownCharacteristic
Indicates that something possesses a feature, quality, or attribute typically associated with a downtown area.
-
E.
isDowntownCoreOf
Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7101ff9808190a27fcc06da097ea3 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.