Triple
T30817630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian transport infrastructure |
E784826
|
entity |
| Predicate | highSpeedLinesConnectsTo |
P48478
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Belgian transport infrastructure, highSpeedLinesConnectsTo, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSpeedLinesConnectsTo Context triple: [Belgian transport infrastructure, highSpeedLinesConnectsTo, France]
-
A.
hasHighSpeedLine
chosen
Indicates that there exists a high-speed rail line connection between the related entities.
-
B.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
C.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
D.
connectsToTransportCorridor
Indicates that one entity has a direct linkage or access route to a designated transport corridor (such as a road, rail line, or similar transit pathway).
-
E.
hasHighSpeedSections
Indicates that the entity includes segments or portions where operation or movement occurs at high speed.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906994e88190a2da183455bdf076 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.