Triple
T8457094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebbsfleet International |
E199944
|
entity |
| Predicate | statusDuringCOVID19Pandemic |
P8645
|
FINISHED |
| Object | Eurostar services suspended |
—
|
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: Eurostar services suspended | Statement: [Ebbsfleet International, statusDuringCOVID19Pandemic, Eurostar services suspended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringCOVID19Pandemic Context triple: [Ebbsfleet International, statusDuringCOVID19Pandemic, Eurostar services suspended]
-
A.
stanceOnCOVID-19Measures
Indicates a subject’s position, attitude, or level of support or opposition toward policies and actions taken in response to COVID-19 (such as restrictions, mandates, or public health measures).
-
B.
covid19Impact
chosen
Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
-
C.
worldHealthOrganizationStatus
Indicates the relationship between an entity and its classification or status as defined by the World Health Organization (WHO), such as recognition, designation, or official standing.
-
D.
associatedPandemic
Indicates a relationship where something (such as an event, condition, or entity) is linked or connected to a specific pandemic.
-
E.
experiencedEpidemic
Indicates that an entity has undergone or been affected by an epidemic event.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48f180c8190a71cf9d7248ade60 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:10 p.m.