Triple
T18986219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praça de D. Pedro IV |
E464564
|
entity |
| Predicate | pavementMotif |
P58826
|
FINISHED |
| Object | wave pattern |
—
|
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 pattern | Statement: [Praça de D. Pedro IV, pavementMotif, wave pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pavementMotif Context triple: [Praça de D. Pedro IV, pavementMotif, wave pattern]
-
A.
hasPavementPattern
chosen
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
B.
pavedWith
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
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.
roofPatternInspiredBy
Indicates that the design or arrangement of a roof follows or is derived from a particular pattern, style, or source of inspiration.
-
E.
streetMaterial
Indicates the material composition from which a street or road surface is made.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.