Triple
T865344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Railways |
E18688
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | RZD |
E18688
|
NE 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: RZD | Statement: [Russian Railways, hasBrand, RZD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RZD Context triple: [Russian Railways, hasBrand, RZD]
-
A.
RZD International
RZD International is a global engineering and infrastructure subsidiary of Russian Railways that focuses on railway construction and modernization projects outside Russia.
-
B.
RZD Technology
RZD Technology is a subsidiary of Russian Railways that focuses on developing and implementing technological and IT solutions for the railway industry.
-
C.
Russian Railways
chosen
Russian Railways is Russia’s state-owned national railway company, operating the country’s extensive passenger and freight rail network across its vast territory.
-
D.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
E.
Z 5600 EMU
The Z 5600 EMU is a class of French electric multiple unit trains built for suburban commuter services around Paris, notably operating on the RER network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6acc148190bcc00a1e939ace77 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf53ee748190b5a08bd7a6d0614c |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.