Triple
T4562413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathédrale Saint-Maurice de Vienne |
E121823
|
entity |
| Predicate | majorRebuilding |
P13529
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Cathédrale Saint-Maurice de Vienne, majorRebuilding, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRebuilding Context triple: [Cathédrale Saint-Maurice de Vienne, majorRebuilding, 12th century]
-
A.
largelyRebuilt
Indicates that an entity has been substantially reconstructed or renovated, with most of its original structure replaced or significantly altered.
-
B.
majorRebuildCompleted
chosen
Indicates that a significant reconstruction or overhaul of an entity has been fully completed.
-
C.
majorConstruction
Indicates a relationship where a construction project is large-scale, significant, or of primary importance in scope, impact, or resources.
-
D.
rebuild
Indicates restoring or constructing again something that was previously built, often after damage, destruction, or significant alteration.
-
E.
majorOperation
Indicates that one entity performs or undergoes a significant, large-scale, or primary operation or procedure involving another entity or context.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd582f21648190b49284eb61b618c9 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.