Triple
T2427084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands Film Festival |
E53553
|
entity |
| Predicate | industryEvents |
P6628
|
FINISHED |
| Object | panels |
—
|
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: panels | Statement: [Netherlands Film Festival, industryEvents, panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryEvents Context triple: [Netherlands Film Festival, industryEvents, panels]
-
A.
industryEvent
Indicates that an event is related to a specific industry, such as a conference, trade show, or professional gathering focused on that industry.
-
B.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
C.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
-
D.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
E.
featuresEvent
chosen
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.