Triple
T35247756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the President of Ukraine building |
E1018014
|
entity |
| Predicate | hasSideEntranceOn |
P1974
|
FINISHED |
| Object | Lyuteranska Street |
—
|
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: Lyuteranska Street | Statement: [Office of the President of Ukraine building, hasSideEntranceOn, Lyuteranska Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideEntranceOn Context triple: [Office of the President of Ukraine building, hasSideEntranceOn, Lyuteranska Street]
-
A.
isSecondaryEntranceOf
Indicates that one entrance serves as an additional or subordinate access point to a primary entrance of the same place or structure.
-
B.
hasEntranceOn
chosen
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
C.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
D.
hasSeparateEntrances
Indicates that the related entities each have their own distinct entrance, rather than sharing a common one.
-
E.
hasShelteredEntrances
Indicates that an entity provides one or more entrances that are covered or protected from weather or external exposure.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.