Triple
T28887082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern line Edgware branch (via Camden Town) |
E732595
|
entity |
| Predicate | hasPeakHourCrowding |
P35231
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Northern line Edgware branch (via Camden Town), hasPeakHourCrowding, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakHourCrowding Context triple: [Northern line Edgware branch (via Camden Town), hasPeakHourCrowding, yes]
-
A.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
B.
hasPeakHourFrequency
Indicates how often a service or event occurs during designated peak hours.
-
C.
hasHeavyPassengerTraffic
chosen
Indicates that an entity experiences a high volume of passenger movement or usage over a given period.
-
D.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
E.
hasNumberOfSeatsAtPeak
Indicates the maximum number of seats available or occupied at the peak usage or capacity of something.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 7:51 a.m.