Triple
T31936284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRC |
E815395
|
entity |
| Predicate | connectsToCountryByRail |
P182398
|
FINISHED |
| Object | Burundi |
—
|
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: Burundi | Statement: [TRC, connectsToCountryByRail, Burundi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToCountryByRail Context triple: [TRC, connectsToCountryByRail, Burundi]
-
A.
hasBorderRailConnectionWith
chosen
Indicates that two places are directly connected to each other by a cross-border railway line or service.
-
B.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
C.
isMainInternationalRailStopOf
Indicates that a location serves as the primary international railway stop or station for a given area, route, or settlement.
-
D.
railNetworkCountry
Indicates that a rail network is located within, or primarily serves, a specific country.
-
E.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:05 a.m.