Triple
T12668590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Topics |
E302619
|
entity |
| Predicate | typicalPositionInProgram |
P87369
|
FINISHED |
| Object | opening segment |
—
|
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: opening segment | Statement: [Hot Topics, typicalPositionInProgram, opening segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionInProgram Context triple: [Hot Topics, typicalPositionInProgram, opening segment]
-
A.
positionInProgram
chosen
Indicates the specific place or order that something occupies within a larger program or sequence of program elements.
-
B.
typicalProgramElement
Indicates that one program element is a representative or characteristic example of another program element or category of elements.
-
C.
typicalPositionInSentence
Indicates the usual or most common position that an element occupies within the linear order of components in a sentence.
-
D.
typicalPositionBias
Indicates a systematic tendency for something to be placed, chosen, or interpreted in a commonly favored or default position relative to other options.
-
E.
classPosition
Indicates the relative ordering or rank of an entity within a class, group, or sequence.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.