Triple
T35298851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.L.I.C.E. |
E1019449
|
entity |
| Predicate | responseGeneration |
P4860
|
FINISHED |
| Object | template substitution |
—
|
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: template substitution | Statement: [A.L.I.C.E., responseGeneration, template substitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseGeneration Context triple: [A.L.I.C.E., responseGeneration, template substitution]
-
A.
responseTool
Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
-
B.
responseSetting
Indicates the contextual conditions or configuration under which a response is produced or intended to be used.
-
C.
generation
chosen
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
D.
responseExample
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
-
E.
responseFormula
Indicates that one entity’s reaction, reply, or outcome is expressed or encoded in a specific formula or structured representation.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f790206ce081909ead3399bf8d1013 |
completed | May 3, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.