Triple
T8398800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titan’s north polar seas |
E198118
|
entity |
| Predicate | hasWaves |
P54328
|
FINISHED |
| Object | small hydrocarbon waves detected |
—
|
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: small hydrocarbon waves detected | Statement: [Titan’s north polar seas, hasWaves, small hydrocarbon waves detected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaves Context triple: [Titan’s north polar seas, hasWaves, small hydrocarbon waves detected]
-
A.
hasWave
chosen
Indicates that one entity possesses, exhibits, or is associated with a particular wave or waveform.
-
B.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
C.
hasWaveConsistency
Indicates that the related entities maintain a stable, coherent pattern or behavior across successive waves, phases, or iterations.
-
D.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
E.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824ac29481909f02cdb2b7cd18af |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.