Triple
T8105077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobus 9 de Julio |
E189206
|
entity |
| Predicate | hasPeakHourFunction |
P80478
|
FINISHED |
| Object | main north–south bus spine through downtown |
—
|
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: main north–south bus spine through downtown | Statement: [Metrobus 9 de Julio, hasPeakHourFunction, main north–south bus spine through downtown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakHourFunction Context triple: [Metrobus 9 de Julio, hasPeakHourFunction, main north–south bus spine through downtown]
-
A.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
B.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
C.
hasPeakAround
Indicates that something exhibits a maximum value, intensity, or prominence in the vicinity of a specified point, range, or condition.
-
D.
hasPeakDirectionService
Indicates that a transportation service operates primarily or exclusively in a specified direction during peak travel periods.
-
E.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
- F. None of above. chosen
Provenance (4 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42c0ce6481909887be82c8019383 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:31 p.m.