Triple
T29033470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels–London high-speed rail corridor |
E737789
|
entity |
| Predicate | StPancrasInternationalOpeningForEurostar |
P165947
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Brussels–London high-speed rail corridor, StPancrasInternationalOpeningForEurostar, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StPancrasInternationalOpeningForEurostar Context triple: [Brussels–London high-speed rail corridor, StPancrasInternationalOpeningForEurostar, 2007]
-
A.
primaryLondonTerminal
Indicates that a given station serves as the main London terminal for a particular rail service or route.
-
B.
ElizabethLinePlatformsOpened
Indicates that the platforms associated with the Elizabeth Line have been officially opened for public use.
-
C.
isMainInternationalRailStopOf
Indicates that a location serves as the primary international railway stop or station for a given area, route, or settlement.
-
D.
openedForTransilienService
Indicates that a facility or location was officially opened to provide Transilien rail service.
-
E.
primaryManchesterStation
Indicates that a given station is the main or principal railway station serving Manchester.
- F. None of above. chosen
Provenance (4 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603acd608190b7e0ed75d26b6799 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:57 a.m.