Triple
T27818003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Comstock |
E702732
|
entity |
| Predicate | stationTypeManaged |
P167337
|
FINISHED |
| Object | radio 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: radio station | Statement: [Victor Comstock, stationTypeManaged, radio station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationTypeManaged Context triple: [Victor Comstock, stationTypeManaged, radio station]
-
A.
hasStationManagement
Indicates that one entity is responsible for managing, operating, or overseeing the activities and administration of a station associated with another entity.
-
B.
hasStationManager
Indicates that an entity has another entity serving as its station manager.
-
C.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
D.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
E.
stationOnLine
Indicates that a particular station is located on or served by a specific transit line.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 27, 2026, 5:46 p.m.