Triple
T27022476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghotki |
E680701
|
entity |
| Predicate | hasNearbyIrrigationInfrastructure |
P31801
|
FINISHED |
| Object | canal network from Indus River |
—
|
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: canal network from Indus River | Statement: [Ghotki, hasNearbyIrrigationInfrastructure, canal network from Indus River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyIrrigationInfrastructure Context triple: [Ghotki, hasNearbyIrrigationInfrastructure, canal network from Indus River]
-
A.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
B.
nearIrrigationProject
chosen
Indicates that one entity is located close to or in the vicinity of an irrigation project.
-
C.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
-
D.
hasIrrigationArea
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
E.
hasIrrigationDependence
Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 27, 2026, 7:09 a.m.