Triple
T25162425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina and Chile |
E626476
|
entity |
| Predicate | shareOceanAccess |
P102455
|
FINISHED |
| Object | Atlantic and Pacific via maritime zones and straits |
—
|
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: Atlantic and Pacific via maritime zones and straits | Statement: [Argentina and Chile, shareOceanAccess, Atlantic and Pacific via maritime zones and straits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareOceanAccess Context triple: [Argentina and Chile, shareOceanAccess, Atlantic and Pacific via maritime zones and straits]
-
A.
shareSeaAccess
chosen
Indicates that two entities have access to the same sea or maritime area, such as sharing a coastline or territorial waters.
-
B.
connectsOcean
Indicates that one geographic entity serves as a link or passage between another entity and an ocean.
-
C.
oceanView
Indicates that one entity has a clear, visible view of the ocean from its location or position.
-
D.
distributionOcean
Indicates that an entity is distributed in, or occurs within, a particular ocean.
-
E.
oceanPresence
Indicates that an entity is located in, adjacent to, or significantly influenced by an ocean.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 6:31 a.m.