Triple
T19571239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supersuck |
E489719
|
entity |
| Predicate | waveLength |
P136318
|
FINISHED |
| Object | long |
—
|
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: long | Statement: [Supersuck, waveLength, long]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waveLength Context triple: [Supersuck, waveLength, long]
-
A.
waveCharacteristic
Indicates that one entity specifies or describes a particular property or feature of a wave associated with another entity.
-
B.
wavelengthApproximate
Indicates that one entity’s wavelength is approximately equal to, or closely matches, the wavelength of another entity.
-
C.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
D.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
E.
channelWavelength
Indicates the specific wavelength at which a given channel operates or is defined.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402103208190b80acdfa82b7a9c4 |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:42 p.m.