Triple
T4921693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua da Prata |
E110479
|
entity |
| Predicate | hasPavingType |
P14456
|
FINISHED |
| Object | Portuguese pavement (calçada portuguesa) |
—
|
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: Portuguese pavement (calçada portuguesa) | Statement: [Rua da Prata, hasPavingType, Portuguese pavement (calçada portuguesa)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavingType Context triple: [Rua da Prata, hasPavingType, Portuguese pavement (calçada portuguesa)]
-
A.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
B.
pavedWith
chosen
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
C.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
D.
cementType
Indicates the specific kind or classification of cement associated with an entity.
-
E.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.