Triple
T21871366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accrington railway station |
E540008
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | CCTV |
—
|
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: CCTV | Statement: [Accrington railway station, hasFeature, CCTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCTV Context triple: [Accrington railway station, hasFeature, CCTV]
-
A.
CCTV
"CCTV" is a popular Afrobeats song by Ghanaian singer King Promise featuring Mugeez and Sarkodie.
-
B.
CCTV
chosen
CCTV (closed-circuit television) is a video surveillance system used for monitoring and recording activities in specific areas for security and safety purposes.
-
C.
CCTV-4
CCTV-4 is an international Chinese-language television channel that broadcasts news, cultural programs, and entertainment content to audiences outside mainland China.
-
D.
CCTV-1
CCTV-1 is the flagship comprehensive television channel of China Central Television, offering a wide range of news, drama, and general entertainment programming across China.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f3368d488190a37224b587858ab0 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.