Triple
T2634658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Docklands Light Railway |
E59714
|
entity |
| Predicate | staffing |
P478
|
FINISHED |
| Object | trains supervised by onboard Passenger Service Agents |
—
|
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: trains supervised by onboard Passenger Service Agents | Statement: [Docklands Light Railway, staffing, trains supervised by onboard Passenger Service Agents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffing Context triple: [Docklands Light Railway, staffing, trains supervised by onboard Passenger Service Agents]
-
A.
staffIncluded
chosen
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
-
B.
employedPeople
Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
-
C.
peakPersonnel
Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
-
D.
associatedWithWorkforce
Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
-
E.
employedApproximately
Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e085b0819089db4103c0d8cd9b |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.