Triple
T30485013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe 1 |
E775694
|
entity |
| Predicate | broadcastsOnFrequency |
P37186
|
FINISHED |
| Object | 104.7 MHz (Paris) |
—
|
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: 104.7 MHz (Paris) | Statement: [Europe 1, broadcastsOnFrequency, 104.7 MHz (Paris)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastsOnFrequency Context triple: [Europe 1, broadcastsOnFrequency, 104.7 MHz (Paris)]
-
A.
hasBroadcastFrequency
Indicates that an entity operates or transmits at a specified broadcast frequency.
-
B.
broadcastsIn
Indicates that one entity transmits or airs content within a particular medium, channel, location, or time frame.
-
C.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
D.
broadcastsTo
Indicates that one entity transmits or disseminates information, signals, or content to another entity or group of entities.
-
E.
broadcastFrequency
chosen
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 8:13 p.m.