Triple
T21347192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izhevsk |
E526368
|
entity |
| Predicate | hasStreetTransport |
P17788
|
FINISHED |
| Object | tram network |
—
|
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: tram network | Statement: [Izhevsk, hasStreetTransport, tram network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetTransport Context triple: [Izhevsk, hasStreetTransport, tram network]
-
A.
hasTransportationSystem
Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
-
B.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasPublicTransitFunction
Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
-
E.
hasTramway
chosen
Indicates that a location or area is served by, contains, or is connected to a tramway system.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba8f1c8819089c5d753876b44d5 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:56 p.m.