Triple
T17003592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningradsky suburban direction |
E412509
|
entity |
| Predicate | hasPeakLoad |
P126124
|
FINISHED |
| Object | weekday rush hours |
—
|
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: weekday rush hours | Statement: [Leningradsky suburban direction, hasPeakLoad, weekday rush hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakLoad Context triple: [Leningradsky suburban direction, hasPeakLoad, weekday rush hours]
-
A.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
B.
hasPeakCount
Indicates the number of distinct peaks associated with an entity.
-
C.
hasPeakOver
Indicates that one entity’s peak (such as a maximum value, height, or intensity) exceeds that of another entity.
-
D.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
E.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.