Triple
T9007635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kızılırmak River |
E215383
|
entity |
| Predicate | nearbyRegionCharacterizedBy |
P85695
|
FINISHED |
| Object | mixed dry farming and irrigated agriculture |
—
|
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: mixed dry farming and irrigated agriculture | Statement: [Kızılırmak River, nearbyRegionCharacterizedBy, mixed dry farming and irrigated agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyRegionCharacterizedBy Context triple: [Kızılırmak River, nearbyRegionCharacterizedBy, mixed dry farming and irrigated agriculture]
-
A.
featuresRegionalProximity
Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
-
B.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
C.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
D.
nearbyState
Indicates that one state is geographically adjacent to or in close proximity to another state.
-
E.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bdc5fc819081015f4adacf9fd4 |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.