Triple
T5871139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WLS-TV |
E130516
|
entity |
| Predicate | stationClass |
P27765
|
FINISHED |
| Object | commercial television station |
—
|
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: commercial television station | Statement: [WLS-TV, stationClass, commercial television station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationClass Context triple: [WLS-TV, stationClass, commercial television station]
-
A.
stationType
chosen
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
B.
railroadClass
Indicates the classification or category of a railroad according to an established system (e.g., by size, revenue, or regulatory status).
-
C.
railwayStationCategory
Indicates the classification or type category assigned to a railway station within a rail network or system.
-
D.
trainTypeUsed
Indicates that a specific type or category of train is employed or operated in a given context or service.
-
E.
railwayStationInstanceOf
Indicates that a given railway station is an instance of a specified class or type of railway station.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.