Triple
T38369860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel 101 |
E892547
|
entity |
| Predicate | continuationCriterion |
P123731
|
FINISHED |
| Object | audience vote ranking |
—
|
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: audience vote ranking | Statement: [Channel 101, continuationCriterion, audience vote ranking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuationCriterion Context triple: [Channel 101, continuationCriterion, audience vote ranking]
-
A.
continuesFor
Indicates that an event, state, or process persists or remains in effect for a specified duration or period.
-
B.
continuityCondition
chosen
Indicates that a relationship or process maintains consistency or unbroken progression across a boundary, interval, or sequence.
-
C.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
D.
hasContinuation
Indicates that one entity serves as a continuation or subsequent part of another entity in a sequence or process.
-
E.
continuityOf
Indicates that one entity represents an unbroken continuation, extension, or persistence of another over time or across a process or state.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:31 p.m.