Triple
T10852559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamma power station |
E256183
|
entity |
| Predicate | usesHydraulicHead_m |
P84295
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Vamma power station, usesHydraulicHead_m, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHydraulicHead_m Context triple: [Vamma power station, usesHydraulicHead_m, 28]
-
A.
hasHydraulicHead
chosen
Indicates that one entity possesses or is characterized by a specific hydraulic head value relative to another reference point or system.
-
B.
hasHydrologicalFunction
Indicates that something performs a role or action related to the movement, storage, or regulation of water within a hydrological system.
-
C.
hasHydrologicalType
Indicates a relationship where an entity is classified according to its hydrological category or type (e.g., river, lake, aquifer).
-
D.
hasHydrologicalRegime
Indicates that one entity (typically a water body or hydrological system) is characterized by, or associated with, a particular pattern or regime of water flow and levels over time.
-
E.
hydrologyDependsOn
Indicates that the hydrological behavior or outcomes of one system, process, or model are contingent upon, or derived from, another hydrological factor, dataset, or process.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75134299481909459fd87917261a7 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.