Triple
T5917480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Nacional Los Dinamos |
E131615
|
entity |
| Predicate | hasWaterBodyOrigin |
P65385
|
FINISHED |
| Object | upper basin of Río Magdalena |
—
|
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: upper basin of Río Magdalena | Statement: [Parque Nacional Los Dinamos, hasWaterBodyOrigin, upper basin of Río Magdalena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterBodyOrigin Context triple: [Parque Nacional Los Dinamos, hasWaterBodyOrigin, upper basin of Río Magdalena]
-
A.
hasHydronymOrigin
Indicates that something derives its name from a body of water or hydrological feature.
-
B.
hasWaterMassOrigin
chosen
Indicates that something originates from, or is derived from, a particular body or mass of water.
-
C.
hasWaterBodyForm
Indicates that an entity is associated with or characterized by a specific form or type of water body (e.g., lake, river, sea).
-
D.
hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
-
E.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.