Triple
T35343290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irkutsk Dam |
E1020665
|
entity |
| Predicate | createdWaterBody |
P21976
|
FINISHED |
| Object | Irkutsk Reservoir |
—
|
NE NERFINISHED |
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: Irkutsk Reservoir | Statement: [Irkutsk Dam, createdWaterBody, Irkutsk Reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdWaterBody Context triple: [Irkutsk Dam, createdWaterBody, Irkutsk Reservoir]
-
A.
waterBodyCreated
chosen
Indicates that one entity is responsible for the formation or creation of a particular body of water.
-
B.
waterBodyCreatedNearby
Indicates that a water body has been formed or established in close spatial proximity to a specified reference location or entity.
-
C.
namedWaterBody
Indicates that an entity is identified as a specific water body by a given name.
-
D.
addressesWaterBody
Indicates that an action, plan, or measure is directed toward managing, affecting, or dealing with a specific water body.
-
E.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:03 p.m.