Triple
T28635861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asml |
E724782
|
entity |
| Predicate | railCodeFor |
P18202
|
FINISHED |
| Object | Amstelstation |
—
|
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: Amstelstation | Statement: [Asml, railCodeFor, Amstelstation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railCodeFor Context triple: [Asml, railCodeFor, Amstelstation]
-
A.
railroadCodeFor
chosen
Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
-
B.
railwayCodeType
Indicates the specific classification or type category assigned to a railway code within a railway coding system.
-
C.
railcodeSystem
Indicates a relationship where a rail-specific code is assigned to, used by, or governs a particular system within a railway context.
-
D.
networkRailRouteCode
Indicates that a specific Network Rail route code is assigned to or associated with an entity, identifying the rail route it belongs to or operates on.
-
E.
railwayStationCodeCountry
Indicates that a specific railway station code is associated with a particular country.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a5dad48190ae08da40ca666cd0 |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:40 a.m.