Triple
T33027589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REST |
E845082
|
entity |
| Predicate | replyTextExample |
P97013
|
FINISHED |
| Object | 350 Restarting at <marker>. Send STORE or RETRIEVE. |
—
|
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: 350 Restarting at <marker>. Send STORE or RETRIEVE. | Statement: [REST, replyTextExample, 350 Restarting at <marker>. Send STORE or RETRIEVE.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replyTextExample Context triple: [REST, replyTextExample, 350 Restarting at <marker>. Send STORE or RETRIEVE.]
-
A.
responseExample
chosen
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
-
B.
typicalResponse
Indicates that an entity’s behavior, reaction, or outcome is the standard or commonly expected response in a given context or situation.
-
C.
responseText
Indicates the textual content produced as a reply or answer in a communicative interaction.
-
D.
responseStatement
Indicates that an entity provides a reply or answer, typically in response to a prior statement, question, or situation.
-
E.
textReception
Indicates that an entity receives, reads, or otherwise takes in a piece of text produced or sent by another entity.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:23 a.m.