Triple
T21570177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stationfall |
E532261
|
entity |
| Predicate | supportsCommandAbbreviations |
P144291
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Stationfall, supportsCommandAbbreviations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCommandAbbreviations Context triple: [Stationfall, supportsCommandAbbreviations, yes]
-
A.
supportsCommand
Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
-
B.
canBeUsedWithAbbreviation
Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
-
C.
containsCommand
Indicates that one entity includes or embeds a command directed at or executable by another entity.
-
D.
hasShortcuts
Indicates that an entity provides or supports shortcut actions or quick-access commands to perform operations more efficiently.
-
E.
usesAbbreviationIn
Indicates that an entity is referred to by an abbreviated form within a specified context, source, or representation.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:30 p.m.