Triple
T24529954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine Basin |
E606773
|
entity |
| Predicate | hasCountryOnMargin |
P70049
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Argentine Basin, hasCountryOnMargin, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOnMargin Context triple: [Argentine Basin, hasCountryOnMargin, Argentina]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasBorderWithinCountry
Indicates that one region or area shares an internal boundary with another region or area within the same country.
-
C.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
D.
hasBorderMeetingCountry
Indicates that one country shares a land or maritime border with another country.
-
E.
hasCountrySide
chosen
Indicates that something is located on, borders, or is associated with the side or boundary of a specified country.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.