Triple
T17036562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Stop |
E413333
|
entity |
| Predicate | dialogueSystem |
P101351
|
FINISHED |
| Object | choice-based |
—
|
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: choice-based | Statement: [Last Stop, dialogueSystem, choice-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueSystem Context triple: [Last Stop, dialogueSystem, choice-based]
-
A.
hasDialogueSystem
chosen
Indicates that an entity includes or is equipped with a system for managing dialogue or conversational interactions.
-
B.
dialogueDynamic
Indicates a relationship where entities are engaged in or contributing to an evolving, back-and-forth dialogue or conversational exchange.
-
C.
dialogueContext
Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
-
D.
dialogueDriven
Indicates that an interaction, narrative, or process is primarily advanced or structured through spoken or written dialogue between participants.
-
E.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.