Triple
T21284657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palena River |
E524621
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object | Pacific Ocean |
—
|
NE NERFINISHED |
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: Pacific Ocean | Statement: [Palena River, mouthLocatedIn, Pacific Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pacific Ocean Context triple: [Palena River, mouthLocatedIn, Pacific Ocean]
-
A.
Pacific Ocean
chosen
The Pacific Ocean is the largest and deepest ocean on Earth, spanning from the Arctic in the north to the Southern Ocean and from Asia and Australia to the Americas.
-
B.
Ocean Pacific
Ocean Pacific is an American surf and beach lifestyle brand best known for its casual apparel, swimwear, and accessories popular since the 1970s.
-
C.
Pacífico
Pacífico is a Madrid Metro station serving as an interchange between lines 1 and 6 in the Retiro district of Spain's capital.
-
D.
Pacific
Pacific is a type of steam locomotive wheel arrangement, typically featuring a 4-6-2 configuration widely used for express passenger services.
-
E.
Pacific
Pacific is a 1967 realist painting by Canadian artist Alex Colville, depicting a man looking out to sea while a gun rests on a nearby table, and is one of his most iconic and analyzed works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d4e7f881909c2cc7936a66b79d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.