Triple
T3323668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Hill |
E69857
|
entity |
| Predicate | hasRoadLayout |
P26277
|
FINISHED |
| Object | radial road pattern around the hill |
—
|
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: radial road pattern around the hill | Statement: [Capital Hill, hasRoadLayout, radial road pattern around the hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadLayout Context triple: [Capital Hill, hasRoadLayout, radial road pattern around the hill]
-
A.
hasRoadConfiguration
chosen
Indicates that there exists a specific arrangement or layout of roads associated with or characterizing an entity.
-
B.
hasStreetLayoutCenteredOn
Indicates that the spatial organization or pattern of streets in one place is arranged with a particular feature or location as its central focus or reference point.
-
C.
hasLaneConfigurations
Indicates that an entity is associated with one or more specific arrangements or patterns of lanes (e.g., number, type, or direction of lanes).
-
D.
hasRoadPass
Indicates that an entity possesses a valid authorization or permit required to use a specific road or road network.
-
E.
hasDedicatedLanes
Indicates that specific lanes within a route or roadway are reserved exclusively for a particular type of traffic or use.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.