Triple
T4757076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Styx |
E105613
|
entity |
| Predicate | hasAfterlifeFunction |
P57200
|
FINISHED |
| Object | entryway to the realm of the dead |
—
|
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: entryway to the realm of the dead | Statement: [River Styx, hasAfterlifeFunction, entryway to the realm of the dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAfterlifeFunction Context triple: [River Styx, hasAfterlifeFunction, entryway to the realm of the dead]
-
A.
hasAfterlifeElement
chosen
Indicates that something includes, depicts, or is associated with an element related to an afterlife or post-mortem existence.
-
B.
associatedAfterlife
Indicates a relationship where an entity is linked to, or characterized by, a particular concept, realm, or state of existence after death.
-
C.
afterlifeForm
Indicates the form, state, or manifestation an entity takes in an afterlife or post-mortem existence.
-
D.
afterlifeFate
Indicates the outcome or condition an entity experiences in the afterlife as a result of its life or actions.
-
E.
hasViewOnAfterlife
Indicates that an entity holds a particular belief, opinion, or perspective regarding the nature of the afterlife.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ec16a0819089836e4388b555f6 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.