Triple
T36076883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimsby and Immingham Electric Railway |
E1043518
|
entity |
| Predicate | servedWorkforce |
P36154
|
FINISHED |
| Object | dock workers at Immingham |
—
|
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: dock workers at Immingham | Statement: [Grimsby and Immingham Electric Railway, servedWorkforce, dock workers at Immingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedWorkforce Context triple: [Grimsby and Immingham Electric Railway, servedWorkforce, dock workers at Immingham]
-
A.
associatedWithWorkforce
chosen
Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
-
B.
employedPeople
Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
-
C.
hasWorkforceType
Indicates the type or category of workforce associated with an entity (such as permanent, temporary, contract, or part-time).
-
D.
workforceOrigin
Indicates the source or place from which a workforce or labor force originates.
-
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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:08 p.m.