Triple
T7852795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mansfield |
E182096
|
entity |
| Predicate | hasRadioFacilities |
P38458
|
FINISHED |
| Object | broadcast antennas near the Nose |
—
|
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: broadcast antennas near the Nose | Statement: [Mount Mansfield, hasRadioFacilities, broadcast antennas near the Nose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadioFacilities Context triple: [Mount Mansfield, hasRadioFacilities, broadcast antennas near the Nose]
-
A.
hasRadioStation
Indicates that one entity possesses, operates, or is served by a particular radio station.
-
B.
hasRadioBroadcasts
Indicates that one entity transmits or provides content via radio broadcasts to another entity or audience.
-
C.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
D.
hasMediaFacilities
chosen
Indicates that an entity possesses or provides access to media-related infrastructure or equipment (such as studios, recording, broadcasting, or production facilities).
-
E.
hasObservationFacility
Indicates that an entity possesses or is associated with a facility used for observing, monitoring, or collecting data about something.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ed56d481909266d862e0ae152d |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:51 p.m.