Triple
T37332865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Mountains foothills |
E926799
|
entity |
| Predicate | formsTransitionalRegionTo |
P74368
|
FINISHED |
| Object | Giant 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: Giant Mountains | Statement: [Giant Mountains foothills, formsTransitionalRegionTo, Giant Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsTransitionalRegionTo Context triple: [Giant Mountains foothills, formsTransitionalRegionTo, Giant Mountains]
-
A.
regionTransformed
Indicates that one region has been changed or converted into another region through some transformation process.
-
B.
formsTransitionBetween
chosen
Indicates that one state, phase, or condition serves as an intermediate link or bridge leading from one distinct state, phase, or condition to another.
-
C.
formsRegionWith
Indicates that multiple entities combine or connect to constitute a single, continuous region.
-
D.
convertedRegion
Indicates that one region has been transformed, adapted, or changed into another region or regional form.
-
E.
formationRegion
Indicates the place or area where something originates, is created, or comes into being.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:16 p.m.