Triple
T4939114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolavon |
E110884
|
entity |
| Predicate | hasRiverValleyIrrigation |
P5694
|
FINISHED |
| Object | Chubut River irrigation canals |
—
|
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: Chubut River irrigation canals | Statement: [Dolavon, hasRiverValleyIrrigation, Chubut River irrigation canals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverValleyIrrigation Context triple: [Dolavon, hasRiverValleyIrrigation, Chubut River irrigation canals]
-
A.
hasRiverValleyAgriculture
Indicates that agriculture is practiced within or along a river valley, utilizing the valley’s river-related resources and conditions.
-
B.
hasIrrigation
chosen
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
C.
hasRiverValley
Indicates that one location contains, includes, or is characterized by a river valley associated with another geographic feature or area.
-
D.
hasIrrigationArea
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
E.
hasVillageOnRiver
Indicates that a village is located on or alongside a particular river.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.