Triple
T18734454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barakar River |
E458123
|
entity |
| Predicate | Panchet DamPurpose |
P22890
|
FINISHED |
| Object | flood moderation |
—
|
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: flood moderation | Statement: [Barakar River, Panchet DamPurpose, flood moderation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Panchet DamPurpose Context triple: [Barakar River, Panchet DamPurpose, flood moderation]
-
A.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
-
B.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
C.
damPurpose
chosen
Indicates the primary function or intended use for which a dam has been constructed or is operated.
-
D.
typeOfDamProject
Indicates that a given project is classified as a dam-related project (i.e., it is a project whose type is a dam project).
-
E.
isTributaryDamOf
Indicates that a dam is constructed on and regulates the flow of a tributary river or stream relative to a main watercourse.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7a06788190a8e09c657aaeb8e5 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.