Triple
T3999484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atatürk Dam |
E87178
|
entity |
| Predicate | damVolume |
P42409
|
FINISHED |
| Object | 84.5 million m³ |
—
|
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: 84.5 million m³ | Statement: [Atatürk Dam, damVolume, 84.5 million m³]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damVolume Context triple: [Atatürk Dam, damVolume, 84.5 million m³]
-
A.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
B.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
C.
reservoirLiveStorageCapacity_m3
Indicates the volume of water that a reservoir can actively store and use, measured in cubic meters.
-
D.
reservoirTotalCapacity
chosen
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.