Triple
T35148770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Explanada de España |
E1014925
|
entity |
| Predicate | pavementDesign |
P58826
|
FINISHED |
| Object | wave motif |
—
|
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: wave motif | Statement: [Explanada de España, pavementDesign, wave motif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pavementDesign Context triple: [Explanada de España, pavementDesign, wave motif]
-
A.
pavedWith
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
B.
hasPavementPattern
chosen
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
C.
pavedBy
Indicates that a surface, route, or area has been covered or constructed with a hard material by a specified agent or process.
-
D.
pavementStyleIntroduced
Indicates that a particular pavement style was first implemented or brought into use in relation to another entity (such as a place, project, or time period).
-
E.
roadDesignApproach
Indicates the method or strategy used to plan, configure, or engineer the design of a road or roadway system.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.