Triple
T21425666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zrinjevac Square |
E528547
|
entity |
| Predicate | hasPavementMaterial |
P85431
|
FINISHED |
| Object | gravel paths |
—
|
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: gravel paths | Statement: [Zrinjevac Square, hasPavementMaterial, gravel paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavementMaterial Context triple: [Zrinjevac Square, hasPavementMaterial, gravel paths]
-
A.
hasPavementStatus
Indicates the type or condition of pavement associated with an entity, such as whether a surface is paved, unpaved, or its current pavement state.
-
B.
hasSidewalkMaterial
chosen
Indicates that a sidewalk is composed of, or constructed using, a specified material.
-
C.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
pavedBy
Indicates that a surface, route, or area has been covered or constructed with a hard material by a specified agent or process.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e2dc408190a4c66a433258f920 |
completed | April 22, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:48 p.m.