Triple
T26229998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Leones |
E656007
|
entity |
| Predicate | associatedWithTrainingGround |
P160461
|
FINISHED |
| Object | Lezama Facilities |
—
|
NE NERFINISHED |
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: Lezama Facilities | Statement: [Los Leones, associatedWithTrainingGround, Lezama Facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTrainingGround Context triple: [Los Leones, associatedWithTrainingGround, Lezama Facilities]
-
A.
associatedWithGround
Indicates that an entity has a defined connection or relationship with the ground, such as contact, support, or reference.
-
B.
trainingGroundFor
Indicates that one entity serves as a place or context where another entity is trained, prepared, or developed.
-
C.
trainingLocationAssociated
chosen
Indicates that a training activity or program is connected with or conducted at a particular location.
-
D.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
E.
commonlyTrainedWith
Indicates that two entities are typically trained, practiced, or learned together as part of the same routine, curriculum, or skill set.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 26, 2026, 8:59 p.m.