Triple
T24818499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyperion |
E620989
|
entity |
| Predicate | causesPhenomenon |
P694
|
FINISHED |
| Object | chaotic rotation due to resonance with Titan |
—
|
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: chaotic rotation due to resonance with Titan | Statement: [Hyperion, causesPhenomenon, chaotic rotation due to resonance with Titan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causesPhenomenon Context triple: [Hyperion, causesPhenomenon, chaotic rotation due to resonance with Titan]
-
A.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
B.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
C.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
hasAssociatedPhenomenon
Indicates that one entity is linked to, or typically occurs together with, a particular phenomenon or observable event.
-
E.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:04 a.m.