Triple
T4818032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RZD Technology |
E107636
|
entity |
| Predicate | hasKeyPartner |
P14933
|
FINISHED |
| Object | Russian Railways IT departments |
—
|
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: Russian Railways IT departments | Statement: [RZD Technology, hasKeyPartner, Russian Railways IT departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyPartner Context triple: [RZD Technology, hasKeyPartner, Russian Railways IT departments]
-
A.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
B.
hasExPartner
Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
-
C.
keyPartner
chosen
Indicates a relationship where one entity serves as a primary or strategically important partner to another, typically involving significant collaboration or mutual dependence.
-
D.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
E.
hasDoublesPartner
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.