Triple
T8353849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscan Garden |
E196627
|
entity |
| Predicate | hasDesignInspirationRegion |
P14480
|
FINISHED |
| Object | Central Italy |
—
|
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: Central Italy | Statement: [Tuscan Garden, hasDesignInspirationRegion, Central Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignInspirationRegion Context triple: [Tuscan Garden, hasDesignInspirationRegion, Central Italy]
-
A.
inspiredByPlace
chosen
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
B.
hasHeritageRegion
Indicates that an entity is associated with, originates from, or is culturally linked to a specific heritage region.
-
C.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
D.
hasRegionDesignation
Indicates that an entity is assigned or associated with a specific regional classification or designation.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804756088190a766e1a486ccfdff |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.