Triple
T10411359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Railway Roundabout |
E245397
|
entity |
| Predicate | originalBroadcastPeriod |
P93992
|
FINISHED |
| Object | late 1950s |
—
|
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: late 1950s | Statement: [Railway Roundabout, originalBroadcastPeriod, late 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadcastPeriod Context triple: [Railway Roundabout, originalBroadcastPeriod, late 1950s]
-
A.
typicalBroadcastPeriod
Indicates the usual or standard time interval during which something is broadcast or transmitted.
-
B.
originalBroadcastLength
Indicates the duration of time for which something was originally broadcast in its first airing.
-
C.
hasBroadcastTime
Indicates that a broadcast (such as a program or transmission) is scheduled or occurs at a specific time.
-
D.
firstBroadcastTime
Indicates the date and time at which something (typically a program or content) was first broadcast.
-
E.
originallyBroadcastIn
Indicates that a broadcast (such as a TV or radio program) was first aired in a particular country, region, or market.
- F. None of above. chosen
Provenance (4 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fc72d081908d81c71133973daf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:09 p.m.