Triple
T11813697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romania and Moldova |
E280940
|
entity |
| Predicate | shareCulturalExchange |
P25798
|
FINISHED |
| Object | television and media |
—
|
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: television and media | Statement: [Romania and Moldova, shareCulturalExchange, television and media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareCulturalExchange Context triple: [Romania and Moldova, shareCulturalExchange, television and media]
-
A.
shareCultureWith
Indicates that two entities mutually participate in, express, or are influenced by the same cultural practices, values, or traditions.
-
B.
culturalInteraction
chosen
Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
-
C.
sharesCultWith
Indicates that two entities belong to or participate in the same cult or cult-like religious group.
-
D.
sharesTraditionsWith
Indicates that two entities have customs, practices, or cultural traditions in common or mutually observe similar traditional activities.
-
E.
culturalExport
Indicates that something originating in one culture is transmitted, adopted, or influential in another culture or region.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.