Triple
T31834875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agliana |
E812642
|
entity |
| Predicate | isInFertilePlain |
P48695
|
FINISHED |
| Object | plain between Pistoia and Prato |
—
|
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: plain between Pistoia and Prato | Statement: [Agliana, isInFertilePlain, plain between Pistoia and Prato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInFertilePlain Context triple: [Agliana, isInFertilePlain, plain between Pistoia and Prato]
-
A.
hasFertileLand
Indicates that one entity possesses or contains land that is capable of supporting abundant plant growth or agricultural production.
-
B.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
C.
isInLand
chosen
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
D.
isOnHighPlains
Indicates that something is located on or situated within a region of elevated, relatively flat high plains.
-
E.
isDrylandFarmingRegion
Indicates that a region is characterized by agricultural practices relying primarily on rainfall rather than irrigation.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aff11a0c81909b8275327f29378a |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:48 p.m.