Triple
T31080677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMAC |
E792085
|
entity |
| Predicate | messageInput |
P19412
|
FINISHED |
| Object | arbitrary-length messages |
—
|
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: arbitrary-length messages | Statement: [UMAC, messageInput, arbitrary-length messages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageInput Context triple: [UMAC, messageInput, arbitrary-length messages]
-
A.
textReception
Indicates that an entity receives, reads, or otherwise takes in a piece of text produced or sent by another entity.
-
B.
input
chosen
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
E.
leftMessageIn
Indicates that one entity has left a message for another entity within a particular medium, location, or system.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:02 p.m.