Triple
T13314241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seu Vella de Lleida |
E317148
|
entity |
| Predicate | hasBellTowerStyle |
P48866
|
FINISHED |
| Object | Gothic |
—
|
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: Gothic | Statement: [Seu Vella de Lleida, hasBellTowerStyle, Gothic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBellTowerStyle Context triple: [Seu Vella de Lleida, hasBellTowerStyle, Gothic]
-
A.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
B.
bellTowerStyle
chosen
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
C.
hasBellTowerLocation
Indicates the specific location where a bell tower is situated or attached relative to another structure or place.
-
D.
hasCathedralStyle
Indicates that something possesses or is characterized by a particular architectural style associated with a cathedral.
-
E.
towerStyle
Indicates the architectural or design style that characterizes a given tower.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.