Triple
T31824746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludo Studio |
E812359
|
entity |
| Predicate | countryOfBroadcastOfKeyWork |
P185158
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [Ludo Studio, countryOfBroadcastOfKeyWork, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfBroadcastOfKeyWork Context triple: [Ludo Studio, countryOfBroadcastOfKeyWork, Australia]
-
A.
workCountryOfBroadcast
chosen
Indicates the country from which a work (such as a program or broadcast content) is or was broadcast.
-
B.
countryOfBroadcast
Indicates the country from which a broadcast is transmitted or officially originates.
-
C.
televisionWorkCountry
Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
-
D.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
E.
countryInWork
Indicates that a creative work is set in, associated with, or significantly involves a particular country.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: April 30, 2026, 11:46 p.m.