Triple
T6588771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paseo del Prado |
E159294
|
entity |
| Predicate | hasStreetTreeSpecies |
P966
|
FINISHED |
| Object | plane trees |
—
|
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: plane trees | Statement: [Paseo del Prado, hasStreetTreeSpecies, plane trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetTreeSpecies Context triple: [Paseo del Prado, hasStreetTreeSpecies, plane trees]
-
A.
hasTreeLinedStreets
Indicates that the streets in a given area are lined or bordered with trees along their sides.
-
B.
hasTrees
Indicates that something possesses or contains one or more trees.
-
C.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
-
D.
notableTreeSpecies
chosen
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
E.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.