Triple
T22741521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattedrale di Sant’Agata |
E562425
|
entity |
| Predicate | originalConstructionEndYear |
P6114
|
FINISHED |
| Object | 1093 |
—
|
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: 1093 | Statement: [Cattedrale di Sant’Agata, originalConstructionEndYear, 1093]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalConstructionEndYear Context triple: [Cattedrale di Sant’Agata, originalConstructionEndYear, 1093]
-
A.
originalCompletionYear
chosen
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
-
B.
constructionResumptionYear
Indicates the year in which a previously halted or paused construction activity was resumed.
-
C.
constructionStartYear
Indicates the calendar year in which the construction of something was begun.
-
D.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
E.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17972fde8819086094cea289a2af8 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:23 p.m.