Triple
T12740270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agro Pontino |
E304469
|
entity |
| Predicate | previousLandType |
P44099
|
FINISHED |
| Object | malaria-infested marshland |
—
|
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: malaria-infested marshland | Statement: [Agro Pontino, previousLandType, malaria-infested marshland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousLandType Context triple: [Agro Pontino, previousLandType, malaria-infested marshland]
-
A.
previousHydrologicalType
Indicates the hydrological classification or condition that applied to a water body or hydrological feature immediately before its current type or state.
-
B.
previousGround
Indicates that one entity is the immediately preceding ground or surface state relative to another in a sequence or progression.
-
C.
formerLandUse
chosen
Indicates the type of land use that characterized a location prior to its current or present use.
-
D.
cededLandFor
Indicates that one party transferred control or ownership of land to another party, typically as part of an agreement, treaty, or settlement.
-
E.
previousStateName
Indicates the name of the state that immediately preceded the current state in a process or state transition.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.