Triple
T33516433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendelstein |
E858377
|
entity |
| Predicate | hasBroadcastTower |
P45880
|
FINISHED |
| Object | Bayerischer Rundfunk transmitter |
—
|
NE NERFINISHED |
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: Bayerischer Rundfunk transmitter | Statement: [Wendelstein, hasBroadcastTower, Bayerischer Rundfunk transmitter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadcastTower Context triple: [Wendelstein, hasBroadcastTower, Bayerischer Rundfunk transmitter]
-
A.
hasCommunicationTowers
chosen
Indicates that one entity possesses, contains, or is equipped with communication towers used for transmitting or receiving signals.
-
B.
hasBroadcastingFacility
Indicates that an entity possesses or operates a facility used for broadcasting signals or content.
-
C.
hasServiceTower
Indicates that an entity is equipped with or associated with a service tower that supports its operation or maintenance.
-
D.
hasBroadcastFrequency
Indicates that an entity operates or transmits at a specified broadcast frequency.
-
E.
hasRadioBroadcasts
Indicates that one entity transmits or provides content via radio broadcasts to another entity or audience.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 1:39 a.m.