Triple
T20693249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imaginary Landscape No. 4 |
E508602
|
entity |
| Predicate | numberOfRadios |
P141111
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Imaginary Landscape No. 4, numberOfRadios, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRadios Context triple: [Imaginary Landscape No. 4, numberOfRadios, 12]
-
A.
numberOfAntennas
Indicates the quantity of antennas that an entity possesses or is associated with.
-
B.
hasRadio
Indicates that an entity is equipped with or includes a radio device.
-
C.
hasNumberOfFMChannels
Indicates the relationship that specifies how many FM (frequency modulation) channels are associated with or supported by an entity.
-
D.
numberOfAntennasInitial
Indicates the initial count of antennas associated with an entity before any changes or updates occur.
-
E.
numberOfFrequencyBands
Indicates the relationship specifying how many distinct frequency bands are associated with or used by an entity.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10fc4088190ab71ef078600954b |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:09 p.m.