Triple
T26165161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panther Peak |
E654228
|
entity |
| Predicate | rangeSubset |
P2889
|
FINISHED |
| Object | Santanoni Range |
—
|
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: Santanoni Range | Statement: [Panther Peak, rangeSubset, Santanoni Range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeSubset Context triple: [Panther Peak, rangeSubset, Santanoni Range]
-
A.
subrange
chosen
Indicates that one value or interval lies entirely within the bounds of another value or interval.
-
B.
rangeIncludes
Indicates that the values or results associated with a property are expected to be of the specified type or types.
-
C.
rangeRestrictedTo
Indicates that the possible values or targets of a relation are constrained to lie within a specified set or type.
-
D.
rangeRestricted
Indicates that the relationship or action applies only within a specified, limited subset of a broader domain or scope.
-
E.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c3e162c819086e1111cdba01ab6 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:32 p.m.