Triple
T9975465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douzy |
E196315
|
entity |
| Predicate | hasCrossBorderTies |
P91398
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Douzy, hasCrossBorderTies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderTies Context triple: [Douzy, hasCrossBorderTies, true]
-
A.
hasCrossBorderInteraction
Indicates that there is an interaction, activity, or relationship occurring between entities located in different countries or jurisdictions.
-
B.
haveMajorCrossBorderOrganization
Indicates that an entity possesses or is associated with a significant organization that operates across national borders.
-
C.
haveCrossBorderAgreements
Indicates that there exist formal agreements or arrangements between entities that operate across national or jurisdictional borders.
-
D.
hasCrossBorderManagement
Indicates that an entity exercises management or control over operations, assets, or activities that extend across national borders.
-
E.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
- F. None of above. chosen
Provenance (4 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:48 p.m.