Triple
T1301891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borovitskaya Tower |
E27784
|
entity |
| Predicate | locatedAtCornerOf |
P26784
|
FINISHED |
| Object | southwestern corner of the Moscow Kremlin |
—
|
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: southwestern corner of the Moscow Kremlin | Statement: [Borovitskaya Tower, locatedAtCornerOf, southwestern corner of the Moscow Kremlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtCornerOf Context triple: [Borovitskaya Tower, locatedAtCornerOf, southwestern corner of the Moscow Kremlin]
-
A.
locatedAtIntersectionOf
Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
-
B.
locatedAtBaseOf
Indicates that one entity is positioned at or near the bottom or lowest supporting part of another entity.
-
C.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:51 p.m.