Triple
T26488472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Day LA |
E664890
|
entity |
| Predicate | cityOfLicenseStation |
P4443
|
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: [Good Day LA, cityOfLicenseStation, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfLicenseStation Context triple: [Good Day LA, cityOfLicenseStation, Los Angeles]
-
A.
cityOfLicense
chosen
Indicates the city in which an entity (typically a broadcast station or similar regulated service) is officially licensed or authorized to operate.
-
B.
formerCityOfLicense
Indicates that an entity previously held, but no longer holds, the official city of license designation for another entity (typically a broadcast station).
-
C.
ownsLicenseForStationType
Indicates that an entity holds a valid license authorizing operation or use of a specific type of station.
-
D.
cityOfBroadcast
Indicates the city from which a broadcast is transmitted or originates.
-
E.
hasStationInCity
Indicates that a station or facility is located within a particular city.
- F. None of above.
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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 12:32 a.m.