Triple
T6667416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Máquina |
E151637
|
entity |
| Predicate | associatedWithPlayingStyleConnotation |
P3775
|
FINISHED |
| Object | strong and efficient |
—
|
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: strong and efficient | Statement: [La Máquina, associatedWithPlayingStyleConnotation, strong and efficient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPlayingStyleConnotation Context triple: [La Máquina, associatedWithPlayingStyleConnotation, strong and efficient]
-
A.
styleOfPlay
chosen
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
associatedWithBowlingStyleOfPerson
Indicates a relationship where something is linked to or characterized by the specific bowling style used by a person.
-
C.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
D.
playsWith
Indicates that one entity engages in play or recreational activity together with another entity.
-
E.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:02 p.m.