Triple
T7665587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Command |
E173615
|
entity |
| Predicate | oftenDefines |
P78654
|
FINISHED |
| Object | undo operation |
—
|
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: undo operation | Statement: [Command, oftenDefines, undo operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDefines Context triple: [Command, oftenDefines, undo operation]
-
A.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
B.
definesAimsOf
Indicates that one entity specifies or establishes the goals, purposes, or intended outcomes of another entity.
-
C.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
definitionText
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
-
E.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.