Triple
T26222065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie protocol |
E655789
|
entity |
| Predicate | queryType |
P12351
|
FINISHED |
| Object | text-based search |
—
|
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: text-based search | Statement: [Archie protocol, queryType, text-based search]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queryType Context triple: [Archie protocol, queryType, text-based search]
-
A.
requestType
Indicates the specific kind or category of request being made in an interaction or transaction.
-
B.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
C.
promptType
Indicates the specific category or style of a prompt that characterizes how an instruction or request is framed or intended to be interpreted.
-
D.
questionnaireType
Indicates the specific category or kind of questionnaire associated with an entity or interaction.
-
E.
commandType
Indicates the specific kind or category of command being issued or executed in the relationship.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d5060708190b3134a5e5a4ca850 |
completed | May 2, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:56 p.m.