Triple
T11733976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulitsa Skobelevskaya |
E278977
|
entity |
| Predicate | isOnViaduct |
P17088
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ulitsa Skobelevskaya, isOnViaduct, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnViaduct Context triple: [Ulitsa Skobelevskaya, isOnViaduct, yes]
-
A.
hasViaduct
chosen
Indicates that one entity possesses, includes, or is connected by a viaduct in relation to another entity.
-
B.
isOnCauseway
Indicates that one entity is located on or positioned along a raised road or path (a causeway), typically elevated above surrounding terrain or water.
-
C.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
-
D.
hasSkyway
Indicates that there is an elevated, usually enclosed walkway or bridge connecting two or more structures or areas.
-
E.
hasFootbridge
Indicates that there exists a footbridge providing a pedestrian connection between 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.