Triple
T5074662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meishan Reservoir |
E114363
|
entity |
| Predicate | typeOfDamProject |
P61258
|
FINISHED |
| Object | multi-purpose reservoir project |
—
|
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: multi-purpose reservoir project | Statement: [Meishan Reservoir, typeOfDamProject, multi-purpose reservoir project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDamProject Context triple: [Meishan Reservoir, typeOfDamProject, multi-purpose reservoir project]
-
A.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
B.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
C.
isHydroelectricProjectOn
Indicates that a hydroelectric project is located on or situated along a specified water body or site.
-
D.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
E.
isOneOfLargestDamsIn
Indicates that a dam ranks among the largest dams within a specified geographic region or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73d90b608190bd6c2407e84e2b64 |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.