Triple
T4796914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanterna di Genova |
E106733
|
entity |
| Predicate | yearRebuilt |
P9623
|
FINISHED |
| Object | 1543 |
—
|
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: 1543 | Statement: [Lanterna di Genova, yearRebuilt, 1543]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRebuilt Context triple: [Lanterna di Genova, yearRebuilt, 1543]
-
A.
reconstructionYear
chosen
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
B.
rebuiltOn
Indicates that one entity has been reconstructed, restored, or built again on, over, or using the foundation, structure, or basis of another entity.
-
C.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
D.
rebuiltInCentury
Indicates that an existing structure or entity was reconstructed or significantly rebuilt during a specified century.
-
E.
rebuiltCompletedIn
Indicates that an entity has undergone a rebuilding process that was fully completed in a specified time or event.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.