Triple
T24882636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Course |
E622752
|
entity |
| Predicate | lengthComparison |
P50260
|
FINISHED |
| Object | shorter than the Championship Course at Royal Troon |
—
|
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: shorter than the Championship Course at Royal Troon | Statement: [Portland Course, lengthComparison, shorter than the Championship Course at Royal Troon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthComparison Context triple: [Portland Course, lengthComparison, shorter than the Championship Course at Royal Troon]
-
A.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
B.
lengthClass
Indicates a classification relationship where an entity is assigned to a category based on its length.
-
C.
usesMatchLength
Indicates that one entity applies or enforces the same length or duration as that of a corresponding match or matching element.
-
D.
relativeLength
chosen
Indicates a comparative relationship between entities based on how long they are relative to one another.
-
E.
rankByLength
Indicates ordering a set of items based on their length, typically from shortest to longest or vice versa.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.