Triple
T30576971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Great Wall Marathon |
E778275
|
entity |
| Predicate | courseCharacteristics |
P82715
|
FINISHED |
| Object | challenging |
—
|
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: challenging | Statement: [2016 Great Wall Marathon, courseCharacteristics, challenging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseCharacteristics Context triple: [2016 Great Wall Marathon, courseCharacteristics, challenging]
-
A.
courseFeatures
Indicates that a course includes, offers, or is characterized by specific features or attributes.
-
B.
courseSetupCharacteristic
Indicates a defining setup-related property or configuration aspect associated with a course.
-
C.
hasCourseCharacteristic
chosen
Indicates that a course possesses or is associated with a particular characteristic, feature, or attribute.
-
D.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
E.
courseStyle
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:22 p.m.