Triple
T28588895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Himalayan mountaineering school |
E723585
|
entity |
| Predicate | trainingGrounds |
P2424
|
FINISHED |
| Object | Tatra Mountains |
—
|
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: Tatra Mountains | Statement: [Polish Himalayan mountaineering school, trainingGrounds, Tatra Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingGrounds Context triple: [Polish Himalayan mountaineering school, trainingGrounds, Tatra Mountains]
-
A.
trainingGround
chosen
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
B.
trainingGroundFor
Indicates that one entity serves as a place or context where another entity is trained, prepared, or developed.
-
C.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
D.
training
Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
-
E.
trainingUnder
Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 4:19 a.m.