Triple
T26036022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BR-235 highway |
E647552
|
entity |
| Predicate | hasPavingStatus |
P141314
|
FINISHED |
| Object | partially paved |
—
|
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: partially paved | Statement: [BR-235 highway, hasPavingStatus, partially paved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavingStatus Context triple: [BR-235 highway, hasPavingStatus, partially paved]
-
A.
hasPavementStatus
chosen
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.
pavedBy
Indicates that a surface, route, or area has been covered or constructed with a hard material by a specified agent or process.
-
C.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
D.
pavedWith
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
E.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 22, 2026, 9:08 a.m.