Triple
T5008403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagredo |
E112552
|
entity |
| Predicate | functionInDialogue |
P31331
|
FINISHED |
| Object | tests strength of arguments |
—
|
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: tests strength of arguments | Statement: [Sagredo, functionInDialogue, tests strength of arguments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInDialogue Context triple: [Sagredo, functionInDialogue, tests strength of arguments]
-
A.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
B.
dialogueForm
chosen
Indicates that one entity takes the form or structure of a dialogue, typically involving conversational or interactive exchange between parties.
-
C.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
D.
functionInText
Indicates that a text segment serves a specific rhetorical or structural function within a larger text.
-
E.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.