Triple
T28726173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina and Bolivia |
E730228
|
entity |
| Predicate | borderChallenges |
P16224
|
FINISHED |
| Object | informal crossings |
—
|
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: informal crossings | Statement: [Argentina and Bolivia, borderChallenges, informal crossings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderChallenges Context triple: [Argentina and Bolivia, borderChallenges, informal crossings]
-
A.
borderIssue
Indicates a dispute, conflict, or problem related to the definition, control, or management of a boundary between two or more entities.
-
B.
borderConcern
chosen
Indicates a relationship where one entity has issues, disputes, or security considerations related to its shared boundary or border with another entity.
-
C.
borderStreet
Indicates that a street forms or lies along the boundary between two geographic areas or properties.
-
D.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
E.
borderCultureWith
Indicates that two regions or entities share a common boundary across which cultural traits, practices, or influences are actively exchanged or intertwined.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: April 28, 2026, 5:56 a.m.