Triple
T18605151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macchina di Santa Rosa procession |
E454723
|
entity |
| Predicate | weightOfStructure |
P1575
|
FINISHED |
| Object | about 50 quintals |
—
|
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: about 50 quintals | Statement: [Macchina di Santa Rosa procession, weightOfStructure, about 50 quintals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightOfStructure Context triple: [Macchina di Santa Rosa procession, weightOfStructure, about 50 quintals]
-
A.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
B.
weight
chosen
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
C.
domeWeight
Indicates the weight or mass of a dome structure associated with an entity.
-
D.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
E.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e547535b8c8190ab5a8a92f15f2bcb |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.