Triple
T31097880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dnipro Hydroelectric Station |
E792585
|
entity |
| Predicate | heightOfDam |
P43545
|
FINISHED |
| Object | about 60 metres |
—
|
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: about 60 metres | Statement: [Dnipro Hydroelectric Station, heightOfDam, about 60 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfDam Context triple: [Dnipro Hydroelectric Station, heightOfDam, about 60 metres]
-
A.
damHeight
chosen
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
B.
isHighestDamIn
Indicates that a dam is the tallest (by height) among all dams located within a specified geographic area or region.
-
C.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
D.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
E.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.