Triple
T20603803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon Train |
E506248
|
entity |
| Predicate | broadcastOn |
P833
|
FINISHED |
| Object | ABC network |
—
|
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: ABC network | Statement: [Wagon Train, broadcastOn, ABC network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC network Context triple: [Wagon Train, broadcastOn, ABC network]
-
A.
ABC Network
ABC Network is a major American broadcast television network known for airing a wide range of popular entertainment, news, and sports programming nationwide.
-
B.
ABC television network
chosen
ABC television network is a major American broadcast television network known for airing a wide range of popular entertainment, news, and sports programming nationwide.
-
C.
CBS television network
CBS television network is a major American broadcast television network known for its long-running scripted series, news programs, and wide-reaching national audience.
-
D.
CBS
CBS is the Curtin Business School, a leading Australian institution offering business education and research as part of Curtin University.
-
E.
CBS
CBS is a premier undergraduate college of the University of Delhi specializing in business, management, and computer science education.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.