Triple
T3145267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HS100 (normal hill) |
E65747
|
entity |
| Predicate | hillType |
P46347
|
FINISHED |
| Object | outdoor |
—
|
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: outdoor | Statement: [HS100 (normal hill), hillType, outdoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hillType Context triple: [HS100 (normal hill), hillType, outdoor]
-
A.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
B.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
C.
hasHillSize
Indicates that something possesses or is characterized by a particular hill size.
-
D.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
E.
elevationType
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.