Triple
T27073279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Patios |
E685385
|
entity |
| Predicate | hasBorderRelatedEconomy |
P101573
|
FINISHED |
| Object | trade with Venezuela |
—
|
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: trade with Venezuela | Statement: [Los Patios, hasBorderRelatedEconomy, trade with Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderRelatedEconomy Context triple: [Los Patios, hasBorderRelatedEconomy, trade with Venezuela]
-
A.
hasEconomicRegionAlongBorder
Indicates that two entities share a border along which a defined economic region or zone exists or is recognized.
-
B.
isLinkedEconomicallyTo
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
-
C.
hasBorderRelation
Indicates that one entity shares a boundary or border with another entity.
-
D.
economicActivityAlongBorder
chosen
Indicates economic interactions or commercial activities that occur in proximity to or because of a shared border between regions or countries.
-
E.
hasCrossBorderTies
Indicates that there exists a relationship or connection that extends across national or jurisdictional boundaries between the involved entities.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 8:29 a.m.