Triple
T1301907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borovitskaya Tower |
E27784
|
entity |
| Predicate | hasRelativePosition |
P23578
|
FINISHED |
| Object | southwest of the Kremlin complex |
—
|
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: southwest of the Kremlin complex | Statement: [Borovitskaya Tower, hasRelativePosition, southwest of the Kremlin complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativePosition Context triple: [Borovitskaya Tower, hasRelativePosition, southwest of the Kremlin complex]
-
A.
hasRelativeLocation
Indicates that one entity is positioned in space in relation to another entity’s location.
-
B.
relativePosition
chosen
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
C.
hasRelativeOccupation
Indicates that two people are related in such a way that one’s occupation is defined or characterized in relation to the other’s occupation.
-
D.
hasRelativeSize
Indicates that one entity’s size is being compared to another entity’s size, expressing a relative rather than absolute magnitude.
-
E.
hasCanonicalPosition
Indicates that an entity occupies a standard, officially recognized, or authoritative position or location within a defined structure or 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.