Triple
T35089700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Siple |
E1012682
|
entity |
| Predicate | hasSteepUpperSlopes |
P201151
|
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, hasSteepUpperSlopes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSteepUpperSlopes Context triple: [Mount Siple, hasSteepUpperSlopes, true]
-
A.
hasColorfulSlopes
Indicates that the subject has slopes characterized by bright or varied colors.
-
B.
hasGentleSlopes
Indicates that one entity possesses or is characterized by slopes that are gradual rather than steep in relation to another reference or context.
-
C.
hasForestedSlopes
Indicates that the subject has slopes that are covered predominantly with forest or woodland vegetation.
-
D.
hasSettlementOnSlopes
Indicates that a settlement is located on or extends across the slopes of a landform such as a hill or mountain.
-
E.
hasCliffsAbove
Indicates that one entity is positioned such that cliffs rise directly above or overhang it.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:01 p.m.