Triple
T28119640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels–Luxembourg rail corridor |
E710741
|
entity |
| Predicate | roleInEU |
P38043
|
FINISHED |
| Object | part of trans-European rail connections |
—
|
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: part of trans-European rail connections | Statement: [Brussels–Luxembourg rail corridor, roleInEU, part of trans-European rail connections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInEU Context triple: [Brussels–Luxembourg rail corridor, roleInEU, part of trans-European rail connections]
-
A.
roleInEurope
chosen
Indicates that an entity holds a specific function, position, or responsibility within a European context, such as within Europe as a region or its institutions.
-
B.
relationshipWithEU
Indicates the nature or status of an entity’s formal or informal relationship with the European Union.
-
C.
roleForUS
Indicates that an entity serves or is designated to serve in a particular role or capacity within the context of "US" (such as a specific organization, group, or system).
-
D.
belongsToEURegionType
Indicates that an entity is classified within a specific type or category of European Union region.
-
E.
roleInPoland
Indicates that an entity holds or has held a specific role, position, or function within the context of Poland.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 27, 2026, 9:16 p.m.