Triple
T253644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elqui River |
E5389
|
entity |
| Predicate | flowsIntoBodyOfWaterType |
P8847
|
FINISHED |
| Object | ocean |
—
|
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: ocean | Statement: [Elqui River, flowsIntoBodyOfWaterType, ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsIntoBodyOfWaterType Context triple: [Elqui River, flowsIntoBodyOfWaterType, ocean]
-
A.
mouthOfWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water or another watercourse.
-
B.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
C.
hasStructureOnWatercourse
Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
-
D.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
E.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
- F. None of above. chosen
Provenance (4 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5331b48190b3797fece8e60e20 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b678d6c81909780e1995c1ca691 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.