Triple
T6509610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceland Airwaves |
E150093
|
entity |
| Predicate | venueDistribution |
P49264
|
FINISHED |
| Object | across the city of Reykjavík |
—
|
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: across the city of Reykjavík | Statement: [Iceland Airwaves, venueDistribution, across the city of Reykjavík]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueDistribution Context triple: [Iceland Airwaves, venueDistribution, across the city of Reykjavík]
-
A.
distributionBy
chosen
Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
-
B.
distributorTerritory
Indicates the geographic area or market in which a distributor is authorized or responsible to sell or distribute products or services.
-
C.
distributesFranchise
Indicates that one party grants or allocates franchise rights or opportunities to another party.
-
D.
distributesIn
Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
-
E.
distributor
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f398f10819096342f3646cefcc2 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.