Triple
T10050075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DATA command |
E207722
|
entity |
| Predicate | usesTerminator |
P91834
|
FINISHED |
| Object | <CRLF>.<CRLF> |
—
|
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: <CRLF>.<CRLF> | Statement: [DATA command, usesTerminator, <CRLF>.<CRLF>]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTerminator Context triple: [DATA command, usesTerminator, <CRLF>.<CRLF>]
-
A.
terminatesOn
Indicates that one process, event, or state causes or marks the ending of another at a specific time or condition.
-
B.
usedTerminal
Indicates that an entity made use of or interacted with a particular terminal or endpoint device.
-
C.
requiresTerminatorAtEachEnd
Indicates that the related entity must have a terminator component installed or present at both of its ends.
-
D.
successorTerminus
Indicates that one terminus directly follows another in a defined sequence or progression.
-
E.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.