Triple
T26367956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream Shake post move |
E660393
|
entity |
| Predicate | trainingLocationAssociated |
P160461
|
FINISHED |
| Object | Hakeem Olajuwon offseason workouts |
—
|
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: Hakeem Olajuwon offseason workouts | Statement: [Dream Shake post move, trainingLocationAssociated, Hakeem Olajuwon offseason workouts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingLocationAssociated Context triple: [Dream Shake post move, trainingLocationAssociated, Hakeem Olajuwon offseason workouts]
-
A.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
-
B.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
C.
previousTrainingLocation
Indicates the place where an entity received training immediately before the current or referenced training event.
-
D.
trainingOrigin
Indicates the source or context from which an entity’s training, instruction, or preparation was derived.
-
E.
trainingPath
Indicates the sequence or structure of learning or training steps that guide an entity’s progression from a starting level to a targeted skill or competency.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6102dfc848190a94d1ef0f3c9e04e |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f6018ceb1c8190a6a5f84071659a96 |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 26, 2026, 10:56 p.m.