Triple
T23203161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tórsvøllur |
E580372
|
entity |
| Predicate | hasPitchDimensionsStandard |
P12918
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tórsvøllur, hasPitchDimensionsStandard, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPitchDimensionsStandard Context triple: [Tórsvøllur, hasPitchDimensionsStandard, yes]
-
A.
hasStandardizedDimensions
chosen
Indicates that an entity conforms to a predefined, uniform set of measurements or size specifications.
-
B.
pitchDimensions
Indicates the specific measurements or size parameters that define the extent or layout of a pitch or playing field.
-
C.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
D.
hasNationalDimension
Indicates that something possesses a scope, relevance, or impact at the level of a nation or entire country.
-
E.
hasLengthFeet
Indicates that an entity possesses a length measured in feet.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907a8bb48190846802a24d33bccf |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.