Triple
T13781214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRT |
E331133
|
entity |
| Predicate | operatesRadioStation |
P42386
|
FINISHED |
| Object | TRT Radyo 3 |
E331133
|
NE 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: TRT Radyo 3 | Statement: [TRT, operatesRadioStation, TRT Radyo 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRT Radyo 3 Context triple: [TRT, operatesRadioStation, TRT Radyo 3]
-
A.
TRT
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
-
B.
TRT
chosen
TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
-
C.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
-
D.
Turkish Radio and Television Corporation
The Turkish Radio and Television Corporation is Turkey’s national public broadcaster, operating multiple television and radio channels domestically and internationally.
-
E.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b079013881908e9f5412e5dfb0b2 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.