Triple
T270580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POP3 |
E5623
|
entity |
| Predicate | messageHandling |
P9930
|
FINISHED |
| Object | download-and-delete model |
—
|
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: download-and-delete model | Statement: [POP3, messageHandling, download-and-delete model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageHandling Context triple: [POP3, messageHandling, download-and-delete model]
-
A.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
C.
handles
Indicates that one entity is responsible for dealing with, managing, or taking care of another entity or task.
-
D.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
E.
firstMessageFrom
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
- F. None of above. chosen
Provenance (4 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e68f0408190bfc851c32d6eebf3 |
completed | Feb. 28, 2026, 3:18 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.