Triple
T12573537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradesi Synagogue |
E295661
|
entity |
| Predicate | clockTowerAdded |
P105486
|
FINISHED |
| Object | 18th 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: 18th century | Statement: [Paradesi Synagogue, clockTowerAdded, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clockTowerAdded Context triple: [Paradesi Synagogue, clockTowerAdded, 18th century]
-
A.
hasClockTower
Indicates that one entity possesses or features a clock tower as part of its structure or property.
-
B.
bellTowerCompletionDate
Indicates the date on which a bell tower was completed or finished being constructed.
-
C.
bellTowerStyle
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
D.
bellTowerConstructionStart
Indicates the time or event at which the construction of a bell tower begins.
-
E.
towerSpireRebuilt
Indicates that the spire of a tower has been reconstructed or built again after being previously removed, damaged, or altered.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 8, 2026, 11:50 p.m.