Triple
T1242182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of the Archangel |
E26680
|
entity |
| Predicate | hasBellTowerRelation |
P2495
|
FINISHED |
| Object | near Ivan the Great Bell Tower |
—
|
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: near Ivan the Great Bell Tower | Statement: [Cathedral of the Archangel, hasBellTowerRelation, near Ivan the Great Bell Tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBellTowerRelation Context triple: [Cathedral of the Archangel, hasBellTowerRelation, near Ivan the Great Bell Tower]
-
A.
hasBellTower
chosen
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
B.
hasClockTower
Indicates that one entity possesses or features a clock tower as part of its structure or property.
-
C.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
D.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
E.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.