Triple
T25251331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerecse TV tower |
E632747
|
entity |
| Predicate | hasBroadcastCoverageArea |
P19217
|
FINISHED |
| Object | northwestern Hungary |
—
|
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: northwestern Hungary | Statement: [Gerecse TV tower, hasBroadcastCoverageArea, northwestern Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadcastCoverageArea Context triple: [Gerecse TV tower, hasBroadcastCoverageArea, northwestern Hungary]
-
A.
hasAreaOfCoverage
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
-
B.
hasBroadcastCoverageIn
chosen
Indicates that a broadcast (such as a TV or radio program, channel, or signal) is available or transmitted within a specified geographic area or region.
-
C.
hasBroadcastingFacility
Indicates that an entity possesses or operates a facility used for broadcasting signals or content.
-
D.
hasCoveringRadius
Indicates the maximum distance from any point in a space to the nearest point in a given set, defining how well that set covers the space.
-
E.
networkCoverage
Indicates the extent to which a network’s signal or service is available across a given area or to specific entities.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:11 p.m.