Triple
T35302277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondano area |
E1019535
|
entity |
| Predicate | hasWaterBodyRole |
P13535
|
FINISHED |
| Object | Lake Tondano as water source |
—
|
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: Lake Tondano as water source | Statement: [Tondano area, hasWaterBodyRole, Lake Tondano as water source]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterBodyRole Context triple: [Tondano area, hasWaterBodyRole, Lake Tondano as water source]
-
A.
hasWaterwayRole
chosen
Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
-
B.
hasBodyOfWaterType
Indicates that a body of water is classified as being of a particular type or category (such as lake, river, ocean, etc.).
-
C.
hasAssociatedWaterBody
Indicates that one entity is linked to, or occurs in connection with, a specific body of water such as a river, lake, or sea.
-
D.
hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
-
E.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.