Triple
T35986454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Železná Ruda-Alžbětín railway station |
E1040722
|
entity |
| Predicate | operatorCountrySide |
P203478
|
FINISHED |
| Object | Czech Railways |
—
|
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: Czech Railways | Statement: [Železná Ruda-Alžbětín railway station, operatorCountrySide, Czech Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorCountrySide Context triple: [Železná Ruda-Alžbětín railway station, operatorCountrySide, Czech Railways]
-
A.
laterSportCountry
Indicates that one country’s involvement in a sport occurs at a later time than another country’s involvement in that same sport.
-
B.
playsForNationality
Indicates that an athlete or player represents a particular country or nationality in a sport or competition.
-
C.
countryCoached
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
D.
clubCountryReferenced
Indicates that a club is associated with or located in a particular country.
-
E.
sportCountry
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
| PDg | Predicate description generation | batch_6a018c6aaca081908c63d8d624fe9ec4 |
completed | May 11, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:07 p.m.