Triple
T8451765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost River |
E199814
|
entity |
| Predicate | hasCourseCharacteristic |
P82715
|
FINISHED |
| Object | surface flow that vanishes into karst features |
—
|
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: surface flow that vanishes into karst features | Statement: [Lost River, hasCourseCharacteristic, surface flow that vanishes into karst features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourseCharacteristic Context triple: [Lost River, hasCourseCharacteristic, surface flow that vanishes into karst features]
-
A.
courseSetupCharacteristic
Indicates a defining setup-related property or configuration aspect associated with a course.
-
B.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
C.
hasCoursePattern
Indicates that an entity follows, is associated with, or is defined by a particular course structure or pattern.
-
D.
hasPrimaryCourse
Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
-
E.
hasRoleCharacteristic
Indicates that an entity possesses a specific characteristic, quality, or attribute associated with a particular role.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe449decc8190bd62f077427f9634 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:09 p.m.