Triple
T4836484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Cathedral |
E108070
|
entity |
| Predicate | naveStyle |
P60337
|
FINISHED |
| Object | Romanesque |
—
|
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: Romanesque | Statement: [Lisbon Cathedral, naveStyle, Romanesque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naveStyle Context triple: [Lisbon Cathedral, naveStyle, Romanesque]
-
A.
naveHeight
Indicates the vertical distance from the floor to the highest point of the nave space in a building.
-
B.
hasNave
Indicates that one entity (typically a building or structure) possesses or includes a nave as a distinct architectural part.
-
C.
naveLength
Indicates the length measurement of a building’s nave, typically from the entrance to the chancel or crossing.
-
D.
flightStyle
Indicates the characteristic manner or pattern in which an entity performs or exhibits flight.
-
E.
boatDecorationStyle
Indicates the stylistic theme or manner in which a boat is decorated.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:25 p.m.