Triple
T23634205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Air with Ryan Seacrest |
E583695
|
entity |
| Predicate | originalStationLocation |
P153358
|
FINISHED |
| Object | Los Angeles |
—
|
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: Los Angeles | Statement: [On Air with Ryan Seacrest, originalStationLocation, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalStationLocation Context triple: [On Air with Ryan Seacrest, originalStationLocation, Los Angeles]
-
A.
originalLocationStatus
Indicates the status or condition of an entity’s original location, such as whether it remains, has changed, or is otherwise affected.
-
B.
originalLocationType
Indicates the type or category of the place where something was originally located or came from.
-
C.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
D.
originalStationClosed
Indicates that the original station associated with an entity has been closed or is no longer in operation.
-
E.
formerStationCode
Indicates that an entity previously had a specific station code that is no longer in current use.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:47 p.m.