Triple
T11554358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Europe Music Awards |
E273975
|
entity |
| Predicate | typicalLocationRegion |
P64798
|
FINISHED |
| Object | European cities |
—
|
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: European cities | Statement: [MTV Europe Music Awards, typicalLocationRegion, European cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocationRegion Context triple: [MTV Europe Music Awards, typicalLocationRegion, European cities]
-
A.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
B.
locationRegion2
Indicates that an entity is located within, or associated with, a second or alternative geographic or administrative region.
-
C.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
D.
typicalHostRegion
Indicates the geographic region where a host is most commonly or characteristically found or associated.
-
E.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a85b9ac8190a57c1fdaeacbe3d6 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.