Triple
T7130281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lille Europe |
E166167
|
entity |
| Predicate | hasUICStationCode |
P1289
|
FINISHED |
| Object | 008777900 |
—
|
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: 008777900 | Statement: [Lille Europe, hasUICStationCode, 008777900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUICStationCode Context triple: [Lille Europe, hasUICStationCode, 008777900]
-
A.
hasStationCode
chosen
Indicates that an entity is associated with a specific station identification code.
-
B.
hasStationCodeSystem
Indicates that an entity uses or is associated with a particular system for assigning or managing station codes.
-
C.
isPassengerStationCode
Indicates that a given code is officially assigned to identify a particular passenger station.
-
D.
isTransportationHubCodeFor
Indicates that a given code uniquely identifies and represents a specific transportation hub, such as a station, airport, or terminal.
-
E.
hasStationFunction
Indicates that an entity serves in a particular functional role or capacity at a station.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66dc2388190bdec018f1cc6b20a |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.