Triple
T5515778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nangbeto Dam (on tributary) |
E144679
|
entity |
| Predicate | waterResourceType |
P47163
|
FINISHED |
| Object | surface water |
—
|
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: surface water | Statement: [Nangbeto Dam (on tributary), waterResourceType, surface water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterResourceType Context triple: [Nangbeto Dam (on tributary), waterResourceType, surface water]
-
A.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
B.
hasWaterResourceType
chosen
Indicates that an entity is associated with a specific type or category of water resource.
-
C.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
E.
waterOrigin
Indicates the source or starting location from which the water originates or is supplied.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5d1d188190b3a222a9ecf2a0e6 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.