Triple
T36009749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Spyridon Church (Corfu) |
E1041371
|
entity |
| Predicate | hasBellTowerHeightRelative |
P109827
|
FINISHED |
| Object | one of the tallest structures in Corfu old town |
—
|
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: one of the tallest structures in Corfu old town | Statement: [Saint Spyridon Church (Corfu), hasBellTowerHeightRelative, one of the tallest structures in Corfu old town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBellTowerHeightRelative Context triple: [Saint Spyridon Church (Corfu), hasBellTowerHeightRelative, one of the tallest structures in Corfu old town]
-
A.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
B.
hasBellTowerLocation
Indicates the specific location where a bell tower is situated or attached relative to another structure or place.
-
C.
hasBellTowerHeightSignificance
chosen
Indicates that the height of a bell tower holds particular importance or relevance in a given context or relationship.
-
D.
hasBellTowerCount
Indicates the number of bell towers that an entity possesses or is associated with.
-
E.
heightOfBellTower_m
Indicates the measured height of a bell tower expressed in meters.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:07 p.m.