Triple
T29432124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seldon Vault |
E746458
|
entity |
| Predicate | messageBehavior |
P9930
|
FINISHED |
| Object | responds only to anticipated questions |
—
|
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: responds only to anticipated questions | Statement: [Seldon Vault, messageBehavior, responds only to anticipated questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageBehavior Context triple: [Seldon Vault, messageBehavior, responds only to anticipated questions]
-
A.
messageHandling
chosen
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
B.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
C.
messageSpace
Indicates a relationship where one entity provides or occupies a space or channel through which messages can be sent, stored, or exchanged between parties.
-
D.
messageBodyModel
Indicates that an entity serves as the content or body component within a larger message structure or model.
-
E.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66aca488081909c41adff321b3a48 |
completed | May 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:14 p.m.