Triple
T16617784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtiberina |
E403738
|
entity |
| Predicate | regionContains |
P123563
|
FINISHED |
| Object | rural landscapes |
—
|
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: rural landscapes | Statement: [Valtiberina, regionContains, rural landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionContains Context triple: [Valtiberina, regionContains, rural landscapes]
-
A.
containsPoint
Indicates that a geometric region or shape includes a given point within its boundaries.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
meetsInRegion
Indicates that two or more entities encounter or come together within a specified geographic or spatial region.
-
D.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
E.
isInSubregion
Indicates that one region or area is located within the boundaries of another, more specific subregion.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.