Triple
T35632777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ČKD Tatra |
E1029631
|
entity |
| Predicate | operatedTramsIn |
P80172
|
FINISHED |
| Object | Prague |
—
|
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: Prague | Statement: [ČKD Tatra, operatedTramsIn, Prague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTramsIn Context triple: [ČKD Tatra, operatedTramsIn, Prague]
-
A.
hasTramcarsFrom
Indicates that a tramcar originates from, or is sourced from, a specified location or provider.
-
B.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
-
C.
tramOperator
chosen
Indicates that one entity operates, manages, or runs tram services for another entity or area.
-
D.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
E.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a015ff02814819094806517fc4c69fa |
completed | May 11, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_6a0154ddd3c48190b85f9f48731cfd8f |
completed | May 11, 2026, 4:02 a.m. |
Created at: May 3, 2026, 4:05 p.m.