Triple
T24261552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurek Dam |
E604716
|
entity |
| Predicate | wasWorldTallestDam |
P101400
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nurek Dam, wasWorldTallestDam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldTallestDam Context triple: [Nurek Dam, wasWorldTallestDam, true]
-
A.
wasWorldsTallestDamAtCompletion
chosen
Indicates that the dam held the record as the tallest in the world at the time it was completed.
-
B.
wasWorldsHighestBridgeFrom
Indicates that a bridge held the record as the world’s highest bridge starting from a specified time or date.
-
C.
wasWorldsHighestBridgeUntil
Indicates that a bridge held the record as the highest bridge in the world until a specified later time or event.
-
D.
isOneOfLargestDamsIn
Indicates that a dam ranks among the largest dams within a specified geographic region or jurisdiction.
-
E.
oneOfLargestRunOfRiverDamsIn
Indicates that a dam is among the largest run-of-river dams located within a specified geographic area.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.