Triple
T3350604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Film Market |
E70482
|
entity |
| Predicate | networkingHubFor |
P423
|
FINISHED |
| Object | film professionals |
—
|
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: film professionals | Statement: [European Film Market, networkingHubFor, film professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkingHubFor Context triple: [European Film Market, networkingHubFor, film professionals]
-
A.
hubFor
chosen
Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
-
B.
operatedHub
Indicates that one entity functions as and manages the operations of a central hub or facility for another entity.
-
C.
secondaryHub
Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
-
D.
networkingOpportunityFor
Indicates that one entity provides or represents a chance for another entity to make professional or social connections.
-
E.
isCommercialHubIn
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb220721c81909eb4d8d35c923927 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.