Triple
T35089701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Siple |
E1012682
|
entity |
| Predicate | hasGentleLowerSlopes |
P185814
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Siple, hasGentleLowerSlopes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGentleLowerSlopes Context triple: [Mount Siple, hasGentleLowerSlopes, true]
-
A.
lowerSlopesCharacterizedBy
chosen
Indicates that the lower slopes of a landform or terrain are defined or distinguished by a particular feature, condition, or characteristic.
-
B.
formsLowerSlopesOf
Indicates that one entity constitutes or shapes the lower slopes or basal flanks of another entity.
-
C.
hasSettlementOnSlopes
Indicates that a settlement is located on or extends across the slopes of a landform such as a hill or mountain.
-
D.
hasColorfulSlopes
Indicates that the subject has slopes characterized by bright or varied colors.
-
E.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:01 p.m.