Triple
T24221863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moconá Provincial Park |
E601479
|
entity |
| Predicate | hasWaterfallOrientation |
P12663
|
FINISHED |
| Object | parallel to the Uruguay River |
—
|
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: parallel to the Uruguay River | Statement: [Moconá Provincial Park, hasWaterfallOrientation, parallel to the Uruguay River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterfallOrientation Context triple: [Moconá Provincial Park, hasWaterfallOrientation, parallel to the Uruguay River]
-
A.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
B.
hasWaterfallType
Indicates that one entity is characterized by or associated with a specific type or classification of waterfall.
-
C.
hasOrientation
chosen
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
D.
hasOrientationInUse
Indicates that an entity, when in use or operation, is oriented in a specific direction or spatial alignment.
-
E.
hasRegionalOrientation
Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287dc0b388190bcbbf3f7c61e421d |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:59 p.m.